Method Of Therapy

ABSTRACT

Numerous diseases have been linked to the production of regulator cells. The present invention relates to the observation that the immune system is cycling in these diseases. Based on these observations, the present invention provides methods for treating diseases such as cancer and a HIV infection. The present invention also relates to methods of determining when a therapy to treat a disease characterized by the production of regulator cells should be administered to a patient.

FIELD OF THE INVENTION

Numerous diseases have been linked to the production of regulator cells.The present invention relates to the observation that the immune systemis cycling in these diseases. Based on these observations, the presentinvention provides methods for treating diseases such as cancer and aHIV infection. The present invention also relates to methods ofdetermining when a therapy to treat a disease characterized by theproduction of regulator cells should be administered to a patient.

BACKGROUND OF THE INVENTION

In the past, attempts have been made to trigger the immune system tomount an efficient response against malignant cells. Despite significantand promising progress, such a response has yet to be fully attained andmany immune based therapies have proved disappointing.

Numerous studies using in vitro cellular assays demonstrate thatcytotoxic lymphocytes have the ability to kill tumour cells. Why thisimmune based destruction does not effectively control tumour growth invivo is a conundrum. The cancer patient also has increased concentrationof circulating immune complexes, indicating the immune system is active,particularly against certain tumour antigens. The level of these immunecomplexes can increase with disease progression (Horvath et al, 1982;Aziz et al, 1998).

Regulatory cells (also referred to in the art as suppressor cells) havebeen implicated in a subjects immune response to cancer (North andAwwad, 1990; WO 03/068257). As most cancer antigens are actuallyproduced by the patient they are considered as “self” by the immunesystem. Upon the presence, and/or increased quantity, of tumour antigenthe hosts immune system mounts a response characterized by theproduction of effector cells which target cells producing the tumourantigen. However, in many instances these effector cells are recognizedby the immune system as targeting the hosts own cells, and hence apopulation of regulator cells are produced to down-regulate the effectorcell population. Thus, the production of these regulator cells limitsthe ability of the immune system to effectively remove cancer cells.

More recently, regulator cells have been shown to be involved in asubjects immune response to a viral infection. WO 02/13828 describes theproduction of regulator cells during retroviral infection, and methodsof treating such infections by down-regulating the regulator cellpopulation whilst maintaining the effector cell population. Furthermore,Peterson et al (2002) observed that a population of CD4+ regulator cellswere suppressing the ability of CD8+ effector cells to control Friendmurine retrovirus infections in mice.

Measurements of certain acute-phase protein plasma concentrations can beof diagnostic or prognostic value under specific clinical conditions.The best known acute-phase protein is C-reactive protein (CRP). CRP is aplasma protein that rises in the blood with the inflammation fromcertain conditions. The level of CRP in blood plasma can rise as high as1000-fold with inflammation. Conditions that commonly lead to markedchanges in CRP include bacterial and viral infection, trauma, surgery,burns, inflammatory conditions, coronary and vascular disease andadvanced cancer.

Most acute phase proteins are synthesized by hepatocytes, some areproduced by other cell types, including monocytes, endothelial cells,fibroblasts and adipocytes. Acute phase proteins include serum amyloid A(SAA), CRP and serum amyloid P component (SAP).

The immediate responsiveness of CRP and SAA to stimuli, together withtheir wide concentration range and ease of automated measurement, haveled to plasma CRP and SAA levels being used to monitor accurately theseverity of inflammation and the efficacy of disease management duringcertain disease conditions.

WO 03/070270 describes the use of acute phase inflammatory markers inregimes for the effective treatment of HIV. These methods rely on atleast partially “resetting” the immune system by a treatment such asHAART followed by the analysis of acute phase inflammatory proteins asmarkers for effector/regulator cell expansion. The emergence of acutephase inflammatory proteins appears to be linked to effector cellexpansion, which occurs before regulator cell expansion, and thus thepatient can be treated with a suitable agent which allows the effectorcell population to be maintained whilst destroying, preventing theproduction of, or reducing the activity of, regulator cells. In essence,upon withdrawal of HAART treatment it was considered that the patientsimmune system would treat the re-emerging HIV particles as a newinfection, and hence a new population of effector cells would beproduced.

Similar to WO 03/070270, WO 03/068257 relates to at least partiallyresetting the immune system, however, in this instance in the context ofthe treatment of cancer. Again, the treatment is focussed on the initialre-emergence of effector cells following a reduction in tumour loadthrough techniques such as surgery or the administration ofanti-proliferative drugs.

Neither WO 02/13828, WO 03/070270 or WO 03/068257 appreciate that theimmune response is cycling in a cancer or HIV patient regardless of theadministration of treatment for these diseases. The present invention isbased on the realization of this cycling, and thus provides methods forthe treatment of diseases linked to regulator cell production oractivity.

SUMMARY OF THE INVENTION

The present inventor has surprisingly found that the immune system iscycling during disease states characterized by the presence of regulatorcells. This cycling occurs on a regular basis of approximately 14 to 15days in humans.

Whilst not wishing to be limited by theory, it appears that effectorcell expansion against a target antigen is followed by the expansion ofregulator cells directed against the effectors. Upon control of theeffector cells by the regulator cells the numbers and/or activity ofboth types of cells decrease, which in turn is followed by the samecycle due to the continuous presence or incomplete removal of antigenwhich results in an oscillating persistent, but ineffective, immuneresponse against the, for example, tumour or virus.

Knowledge of this cycle can be used to treat diseases where it is knownthat the emergence of regulator cells is detrimental to the patient.Examples of such diseases include cancer and persistent infections suchas by the human immunodeficiency virus. More specifically, treatment ofa patient can be timed such that effector cell numbers against acellular or viral antigen are maximized whilst regulator cell numbersare reduced or abolished.

In fact, the present inventor has noted that the treatment of a widevariety of cancers with anti-cancer drugs results, on average, in acomplete response rate in the range of 6.5 to 7%. This range of 6.5 to7% is consistent with an about 14 to 15 day cycle of effector cellexpansion followed by regulator cell expansion. More specifically, whennot taking into consideration the cycling of effector and regulatorcells, a medical practitioner has an approximate 1 in 14.5 chance (6.8%)of administering an anti-proliferative drug at a time where effectorcells numbers are high but regulator cell numbers have only begun toexpand and hence are vulnerable to treatments which target dividingcells. This leaves high numbers of effector cells which target thecancer cells, resulting in a complete response to the therapy.

Accordingly, in a first aspect the present invention provides a methodfor determining when an agent should be administered to a patientsuffering from a disease characterized by the production of regulatorcells, the method comprising monitoring the patient, or samples obtainedtherefrom, for at least one of: a) effector cell numbers and/oractivity, b) regulator cell numbers and/or activity, c) a moleculeassociated with the disease, and/or d) an immune system marker.

In another aspect, the present invention provides a method of treating adisease characterized by the production of regulator cells, the methodcomprising;

i) monitoring a patient suffering from the disease for at least one of:

-   -   a) number and/or activity of regulator cells,    -   b) number and/or activity of effector cells,    -   c) a molecule associated with the disease, and/or    -   d) an immune system marker, and

ii) exposing the patient to an agent to treat the disease,

wherein the timing of administration of the agent is selected such thatthe activity of effector cells is not significantly reduced.

Preferably; the disease characterized by the production of regulatorcells is selected from, but not limited to, cancer and an infection.

The infection can be caused by any type of infectious agent such as, butnot limited to, a virus, bacteria, protozoa, nematode, prion, or fungus.Preferably, the infectious agent causes chronic persistent infectioncharacterized by the patient immune system not being able to eliminatethe infectious agent. Examples of infectious agents which cause chronicpersistent infection are viruses such as HIV, the Hepatitis B virus andthe Hepatitis C virus.

Whilst not wishing to be limited by theory, it appears that as antigenload, for example from increased tumour growth or viral replication,increases following regulator cell activity the patients immune systemresponds in a manner similar to a first time exposure to the antigen.This immune response includes the production of: acute phaseinflammatory markers such as serum amyloid A and c-reactive protein.

An appropriate time to administer the agent is between when the levelsof acute phase inflammatory marker have peaked and before the markerbegins to rise in the next cycle. Accordingly, a particularly preferredimmune system marker is an acute phase inflammatory marker. Morepreferably, the acute phase inflammatory marker is selected from, butnot limited to, the group consisting of serum amyloid A, serum amyloid Pand c-reactive protein.

Preferably, the immune system marker reflects the number and/or activityof regulator cells, and/or the number and/or activity of effector cells.

In one embodiment, the patient is monitored for an increase in thenumber and/or activity of regulator cells by the analysis of CD4+CD8− Tcell levels. With regard to this embodiment, it is preferred that theagent is administered about when CD4+CD8− T cells are detected.

In another embodiment, the patient is monitored for an increase in thenumber and/or activity of effector cells by the analysis of CD8+CD4− Tcell levels. With regard to this embodiment, it is preferred that theagent is administered approximately when CD8+CD4− T cell numbers havepeaked.

In another embodiment, the molecule associated with the disease is anantigen produced by a cancer cell or an infectious agent. In thisembodiment, the agent is administered approximately when levels of themolecule associated with the disease begin to decrease.

In a further embodiment, the disease is cancer and the patient ismonitored for fluctuations in the levels of tumour antigen(s). Withregard to this embodiment, it is preferred that the agent isadministered approximately when levels of tumour antigen begin todecrease.

In yet a further embodiment, the disease is caused by an infectiousagent and the patient is monitored for fluctuations in the levels ofantigen(s) produced by the infectious agent. With regard to thisembodiment, it is preferred that the agent is administered approximatelywhen levels of antigen, or infectious organisms or viruses (viral load),begin to decrease.

In another embodiment, the immune system marker is body temperature.With respect to this embodiment, it is preferred that the agent isadministered when body temperature has peaked and before bodytemperature begins to rise in the next cycle.

As outlined herein, the present inventor has noted that fluctuations innumerous factors indicate that the immune system is cycling in patientssuffering from a disease characterized by the production of regulatorcells. These factors include acute phase inflammatory markers, viralantigens, cancer antigens and body temperature. These factors arelinked, directly or indirectly, to the general state of the immunesystem including, but not necessarily limited to, effector cellproduction and/or activity, regulator cell production and/or activity,and/or B cell production and/or activity.

It will be appreciated by the skilled person that diseases such arecancer and AIDS have a complex effect on the patient. Furthermore,natural variations between individuals linked to factors such as theirgenotype, nutrition, fitness, previous and current disease status, allinfluence how a given individual responds to a disease state. Thus,whilst in most cases the cycle will be about 14 to 15 days, in someindividuals this may be slightly shorter or longer. In addition, likethe menstrual cycle, the length of the cycle may vary slightly within anindividual due to natural variation and/or environmental factors. Thus,individual variation may at least be encountered with regard to, forexample, i) the length of the cycle, ii) the absolute numbers ofeffector or regulator cells during the cycle, or iii) the levels ofacute phase inflammatory markers during the cycle. Such variation may beexaggerated in patients with advanced cancer or infection, where thepatients immune system has been challenged for a considerable length oftime.

As result, it will most likely be desirable to monitor the patient for asufficient length of time to ensure that the dynamics of the immunesystem cycling within a particular patient is understood. Preferably,the patient is monitored for a period of at least 7 days, morepreferably at least 14 days, more preferably at least 21 days, morepreferably at least 28 days, more preferably at least 35 days, morepreferably at least 42 days, and even more preferably at least 49 days.

Another complicating factor is that at least the levels of some acutephase inflammatory markers have been found to cycle about every 7 days(about half the length of a “full” immune system cycle). Thus, itappears that relying on these types of markers will improve the chanceof successful treatment from about 6.8% (based on random administrationof the agent) to about 50% (based on choosing the correct administrationtime by randomly choosing which of the peaks is linked to theappropriate time to target regulator cells). Whilst this is animprovement on current techniques, it is preferred that such markers aremonitored in conjunction with other factors (for example, a moleculeassociated with the disease, regulator cells and/or effector cells) tooptimize the chance of selecting the appropriate time to administer theagent.

Thus, in another embodiment, the patient is monitored for an acute phaseinflammatory marker, and a molecule associated with the disease. Withregard to this embodiment, the agent is administered between when thelevels of the acute phase inflammatory marker have peaked and before themarker begins to rise in the next cycle, and when levels of the moleculeassociated with the disease begin to decrease or would have beenpredicted to begin to decrease based upon previous analysis of themolecule.

In general, it is preferred that numerous factors are monitored at thesame time. This is because, due to the factors describe above, it isunlikely that each factor will have a perfect cycle profile within a14/15 day period, particularly over a number of cycles, to routinelyprovide a clear indication of the appropriate time to administer theagent. Whilst the analysis of numerous factors of a long period may becostly, and may be of at least some inconvenience to the patient,diseases such as cancer and AIDS are life threatening. Hence it isworthwhile understanding as much as possible regarding immune systemcycling in a given patient before the patient is treated.

In addition, although the analysis of different factors cycling in somepatients may result in complex profiles, given the guidance providedherein it is well within the skill of the medical practitioner toanalyse the monitoring data to determine the optimal time to administerthe agent. An Example of the careful analysis of multiple factors todetermine the appropriate time to effectively treat a diseasecharacterized by the production of regulator cells is provided herein.

A further complicating factor will be if the patient has recentlyacquired a disease or trauma unrelated to that being treated. Forexample, a patient being treated for a HIV infection may also contractthe common flu virus. The presence of the flu virus will result in, forexample, an increase in acute phase inflammatory markers independent ofthe cycling of these markers which is occurring due to the HIVinfection. Other diseases which may cause complications in monitoringeffector/regulator cell cycling for use in the methods of the presentinvention include, rheumatoid arthritis, ulcers and chronic gum disease.Accordingly, it is desirable to monitor the patient for any factorswhich may result in elevated levels of, for example, acute phaseinflammatory markers to ensure that the factor being monitored trulyreflects effector/regulator cell cycling resulting from the diseasebeing treated.

Furthermore, it is preferred that the patient is monitored as frequentlyas possible to ensure immune system cycling within a given patient issuitably characterized. Naturally this will ensure that the agent isadministered at the appropriate time and that any small variations in,for example, effector/regulator cell numbers or activity, or markersthereof, is not misinterpreted. Preferably, the patient is monitored atleast every 3 days, more preferably at least every 2 days, and mostpreferably at least every day. Monitoring may occur more frequently, forinstance every 12 hours, when the cycling is reaching a stage where itis likely that the timing would be appropriate to administer the agent.

Preferably, the agent inhibits the production of, limits the functionof, and/or destroys, regulator cells. More preferably, the agent isselected from the group consisting of anti-cancer drugs such asanti-proliferative drugs, radiation, dsRNA and antibodies which inhibitthe production and/or activity of regulator cells. Preferably, theanti-proliferative drug is selected from the group consisting of, butnot limited to, taxol, vincristine, vinblastine and anhydro vinblastine.

With regard to cancer, in contrast to typical anti-cancer drug therapywhich is administered to target tumour cells, the method of treatmentdescribed herein actually targets regulator cells. This leaves suitablenumbers of effector cells to produce the desired therapeutic effect.

Examples of preferred antibodies include, but are not limited to,anti-CD4+, anti-CTLA-4 (cytotoxic lymphocyte-associated antigen-4),anti-GITR (glucocorticoid-induced tumour necrosis factor receptor),anti-CD28 and anti-CD25.

Preferably, the patient has not been exposed to a treatment for thedisease for at least 14 days, more preferably at least 21 days, and evenmore preferably at least 28 days.

The present inventor has also determined that treatment for a diseasecharacterized by the production of regulator cells can be enhanced (orthe chances of successful treatment can be increased) when the vaccineis administered at the appropriate time. In these instances, the vaccineboosts the innate immune response against the disease. This will mostlikely be a result of increased numbers and/or activity of effectorcells. Although theoretically regulator cells will still ultimately beproduced, the boosting of the immune system allows the patient tosuitably control the disease before the emergence of the regulatorcells. This scenario would explain why previous studies have shown thatanti-HIV and anti-tumour vaccines are only successful in a small numberof patients. More specifically, there is only a small chance the vaccinewill be administered at the same time the innate immune response to thedisease is occurring. Other times of administration in the prior artoccur when there are high numbers and/or activity of regulators cells,or at times which uncouple the natural cycling of the immune system.

Thus, in another aspect the present invention provides a method fordetermining when a vaccine should be administered to a patient sufferingfrom a disease characterized by the production of regulator cells, themethod comprising monitoring the patient, or samples obtained therefrom,for at least one of: a) effector cell numbers and/or activity, b)regulator cell numbers and/or activity, c) a molecule associated withthe disease, and/or d) an immune system marker.

In a further aspect, the present invention provides a method of treatinga disease characterized by the production of regulator cells, the methodcomprising;

i) monitoring a patient suffering from the disease for at least one of

-   -   a) number and/or activity of regulator cells,    -   b) number and/or activity of effector cells,    -   c) a molecule associated with the disease, and/or    -   d) an immune system marker, and

ii) exposing the patient to an vaccine to treat the disease, wherein thetiming of administration of the vaccine is selected such that theactivity of effector cells is not significantly reduced.

In one embodiment, the vaccine is administered about when the levels ofeffector cells are increasing.

In another embodiment, the vaccine is administered about when the levelsof a molecule associated with the disease begin to decrease.

In a further embodiment, the vaccine is administered about when thelevels of an acute phase inflammatory marker begin to increase. Asoutlined above, at least some acute phase inflammatory markers have beenfound to be cycling over about a seven day period where only everysecond peak of acute phase inflammatory marker levels is associated witheffector cell numbers. Thus, in this embodiment, the monitoring willmost likely need to be combined with the analysis of other factorsdescribed herein.

The observation that the immune system is cycling during disease statescharacterized by the presence of regulator cells can also be used as anindicator of the presence of such a disease. These diagnosis procedureswould be particularly useful for analysing a patient for the recurrenceof the disease state (such as a tumour) following treatment, or foranalysing a patient determined to be susceptible to the disease (such asin cases where the subject has previously been identified as possessinga cancer susceptibility gene) for the emergence of the disease.

Thus, in a further aspect the present invention provides a method ofdiagnosing a disease characterized by the production of regulator cells,the method comprising monitoring the patient, or samples obtainedtherefrom, for at least one of: a) effector cell numbers and/oractivity, b) regulator cell numbers and/or activity, c) a moleculeassociated with the disease, and/or d) an immune system marker, whereincycling of any one of a) to d) indicates the disease may be present.

Naturally, as outlined above, the patient will need to be analysed forother disease states, such as minor infections such as influenza etc, toensure that any cycling observed (especially when analysing acute phaseinflammatory markers) is directly linked to a disease characterized bythe production of regulator cells.

Whilst ideally the monitoring should continue indefinitely, this willmost likely not be practical in a majority of situations. Thus, thediagnosis procedure can be performed on an intermittent basis based onassessed risk of the disease state emerging or re-emerging. As theskilled addressee will appreciate from the discussions herein, the term“intermittent basis” means that the method will require a suitablenumber of samples be analysed over a period of time to determine ifimmune cycling is occurring (for example samples obtained at least every3 days for a period of about 14 days), however, if the test is negativethis procedure may not need to be repeated (for example) for anotheryear.

In another aspect, the present invention provides for the use of anassay which detects an immune system marker for determining when anagent or vaccine should be administered to a patient suffering from adisease characterized by the production of regulator cells.

Preferably, the marker is an acute phase inflammatory marker. Morepreferably, the marker is a positive acute phase inflammatory marker.Even more preferably, the marker is selected from the group consistingof, but not limited to, serum amyloid A and c-reactive protein.

In another aspect, the present invention provides for the use of anassay which detects effector cell numbers and/or activity fordetermining when an agent or vaccine should be administered to a patientsuffering from a disease characterized by the production of regulatorcells.

Preferably, the assay detects the number of CD8+CD4− T cells.

In another aspect, the present invention provides for the use of anassay which detects regulator cell numbers and/or activity fordetermining when an agent or vaccine should be administered to a patientsuffering from a disease characterized by the production of regulatorcells.

Preferably, the assay detects the number of CD4+CD8− T cells.

In another aspect, the present invention provides for the use of anassay which detects a molecule associated with a disease characterizedby the production of regulator cells for determining when an agent orvaccine should be administered to treat the disease.

Preferably, the assay detects an antigen produced by a cancer cell or aninfectious agent.

Preferably, the patient has not been exposed to a treatment for thedisease for at least 14 days, more preferably at least 21 days, and evenmore preferably at least 28 days.

In a further aspect, the present invention provides for the use of anagent for the manufacture of a medicament for administering to a patientsuffering from a disease characterized by the production of regulatorcells, wherein the agent will be administered at a time selected suchthat the activity of effector cells is not significantly reduced, andwherein the patient has not been exposed to a treatment for the diseasefor at least 14 days.

Preferably, the agent inhibits the production of, limits the functionof, and/or destroys, regulator cells.

As would be readily appreciated by those skilled in the art, the methodsof the present invention may be repeated to provide a more completetreatment.

Preferably, the patient is a mammal. More preferably, the mammal is ahuman.

In a further aspect, the present invention provides a kit fordetermining when an agent or vaccine should be administered to a patientsuffering from a disease characterized by the production of regulatorcells, the kit comprising at least one reagent for monitoring thepatient, or samples obtained therefrom, for at least one of: a) effectorcell numbers and/or activity, b) regulator cell numbers and/or activity,c) a molecule associated with the disease, and/or d) an immune systemmarker.

Preferably, the kit comprises written instructions for performing amethod of the invention including reference to the preferred number ofsamples to be analysed, and the timing between sample analysis.

As will be apparent, preferred features and characteristics of oneaspect of the invention are applicable to many other aspects of theinvention.

Throughout this specification the word “comprise”, or variations such as“comprises” or “comprising”, will be understood to imply the inclusionof a stated element, integer or step, or group of elements, integers orsteps, but not the exclusion of any other element, integer or step, orgroup of elements, integers or steps.

The invention is hereinafter described by way of the followingnon-limiting Examples and with reference to the accompanying figures.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS

FIG. 1. A) C-reactive protein and tumour marker CA125 levels over a 14day period in a patient with ovarian cancer. B) Serum amyloid A levelsin the same patient over the same period (C-reactive protein levels fromA) duplicated).

FIG. 2. C-reactive protein levels in response to taking a first humanHIV patient off HAART treatment.

FIG. 3. Viral load and CRP fluctuations in a second HIV patientfollowing the completion of HAART.

FIG. 4. CRP and C4 fluctuations in Mrs OM over 32 days shows a distinctperiodicity with an approximate repeating 7/14 day oscillation.Measurements were taken every Monday, Wednesday and Friday. In this casethe C4 oscillation is more regular. Note the rising trend in bothparameters over the 32 day period.

FIG. 5. Serum Complement factors C4 and C3 fluctuations in Mrs OM over32 days show a near synchronous and regular periodicity of approximately7/14 days. Note the rising trend in both parameters over the 32 dayperiod.

FIG. 6. Serum Complement Factor C4 fluctuations and rising CA125 levelswith advancing disease in Mrs OM. Note the rising trend in bothparameters over the 32 day period.

FIG. 7. C-Reactive Protein versus Time in Mrs OM, (days) Monitoring andTherapeutic event 28 May 2004 (day 1)-9 Aug. 2004 (day 74). CRPmonitoring began on the 28^(th) of May (day 1) and climbed steadily withadvancing disease. The approx 14 day immune response oscillation wasderived from the combined interpretation of serum CRP, C4 & CA125collected data (see also FIG. 4). Key:

A=Radiotherapy begins, day 38, =5 Jul. 2004.

B=Predicted CRP peak, day 46, 47 & 48, =13, 14, 15, Jul. 2004.

C=Timing of first chemotherapy application, day 49, 16 Jul. 2004.

D=Predicted CRP peak, day 63 & 64, =28, 29 Jul. 2004. Radiotherapystops.

E=Timing of 2^(nd) chemotherapy application, day 65, =30 Jul. 2004.

F=Fever, day 66, =31 Jul. 2004, Haemorrhage from Tumour, day 67, =1 Aug.2004.

G=CRP drops to 62.7 mg/l, day 69, =4 Aug. 2004.

H=Endoscopy reporting no evidence of tumour, day 74, =9 Aug. 2004.

FIG. 8. C-Reactive Protein and Serum Amyloid A versus time in Mrs FO.

FIG. 9. C-Serum Amyloid A and IL-2 versus time in Mrs FO.

FIG. 10. Serum Amyloid A and cancer marker CA125 versus time in Mrs FO.

FIG. 11. C-Reactive Protein and C3 versus time in Mrs FO.

FIG. 12. C-Reactive Protein versus time in Mr GA.

DETAILED DESCRIPTION OF THE INVENTION

Definitions

As used herein the terms “treating”, “treat” or “treatment” includeadministering a therapeutically effective amount of an agent sufficientto reduce or eliminate at least one symptom of the disease.

As used herein, the term “tumour load” generally refers to the number ofcancerous cells in a subject at any given time. Measuring the level oftumor antigen in the subject can be considered as an indication oftumour load.

As used herein, the term “viral load” generally refers to the number ofviral particles in a subject at any given time. Measuring the level ofviral antigen in the subject can be considered as an indication of viralload.

“Regulator cells-” include, but are not necessarily limited to, asubpopulation of CD4+ T cells. Such cells may also be referred to in theart as “suppressor cells”. Regulator cells may either act directly oneffector cells or may assert their affects upon effector cells throughother mechanisms.

CD4+ cells express the marker known in the art as CD4. Typically, theterm “CD4+ T cells” as used herein does not refer to cells which alsoexpress CD8. However, this term can include T cells which also expressother antigenic markers such as CD25.

“Effector cells” include, but are not necessarily limited to, the T cellpopulation known as CD8+ cells.

As used herein, the term “limits the function of, and/or destroys” whenreferring to the exposure of the “regulator cells” to the agent meansthat the number, and/or activity, of regulator cells is down-regulatedby the agent. Most preferably, the number, and/or activity, of regulatorcells is completely eradicated by the agent.

As used herein the term “disease characterized by the production ofregulator cells” refers to any condition wherein the number or activityof regulator cells plays a role in prolonging the disease state.Examples of such disease include, but are not limited to, cancer andinfections.

The term “immune system marker” generally refers to any molecule orfactor which provides an indication of the state and/or activity of theimmune system. These markers may be directly linked to the activityand/or production of regulator and/or effector cells, and/or may providea more general indication of the overall response of the immune systemto an antigen. Examples of a suitable immune system marker include acutephase inflammatory markers such as c-reactive protein and serum amyloidA. Another example of an immune system marker are indicators of cellulardestruction such as, but not limited to, cholesterol andbeta-2-microglobulin in serum. Cholesterol and beta-2-microglobulin areintegral components of cellular membranes. In particular,beta-2-microglobulin is the accessory molecule to the MajorHistocompatabilty Class I or MHC-I receptor. Consequently, with thecycling of the anti-disease immune response together with target celldestruction, the serum levels in cancer patients of these two moleculesis often elevated. Thus, oscillations in indicators of cellulardestruction, such as cholesterol and beta-2-microglobulin, may alsoprove useful in determining the beginning or end of the immune responsecycle. Naturally, upon the present discovery of the immune systemcycling in a disease characterized by the production of regulator cells,the skilled addressee could readily identify further markers useful inthe methods of the invention.

As used herein, the term “a molecule associated with the disease” refersto any molecule which is linked to the disease state. In a preferredembodiment, the marker is a protein. Such protein markers are well knownin the art. Examples of suitable tumour antigen markers are describedherein. Suitable markers for, if not all, infectious diseases are alsowell known, for example the gag or env proteins of HIV.

As used herein the term “chronic persistent infection” refers to thepresence of an infectious agent in the patient which is not readilycontrolled by the patients immune system or available therapies.Examples include, but are not limited to, infections with Mycobacteriumtuberculosis (which causes tuberculosis), HIV, the Hepatitis B virus orthe Hepatitis C virus. To be classified as a “chronic persistentinfection” it is preferred that the patient has at least had theinfection for 3 months, more preferably at least 6 months.

For the purposes of this invention, the term “antibody”, unlessspecified to the contrary, includes fragments of whole antibodies whichretain their binding activity for a target analyte. Such fragmentsinclude Fv, F(ab′) and F(ab′)₂ fragments, as well as single chainantibodies (scFv). Furthermore, the antibodies and fragments thereof maybe humanised antibodies, for example as described in EP-A-239400.

As is known in the art, a cancer is generally considered as uncontrolledcell growth. The methods of the present invention can be used to treatany cancer including, but not limited to, carcinoma, lymphoma, blastoma,sarcoma, and leukemia. More particular examples of such cancers includebreast cancer, prostate cancer, colon cancer, squamous cell cancer,small-cell lung cancer, non-small cell lung cancer, ovarian cancer,cervical cancer, gastrointestinal cancer, pancreatic cancer,glioblastoma, liver cancer, bladder cancer, hepatoma, colorectal cancer,uterine cervical cancer, endometrial carcinoma, salivary glandcarcinoma, mesothelioma, kidney cancer, vulval cancer, thyroid cancer,hepatic carcinoma, skin cancer, melanoma, brain cancer, neuroblastoma,myeloma, various types of head and neck cancer, acute lymphoblasticleukemia, acute myeloid leukemia, Ewing sarcoma and peripheralneuroepithelioma.

The “sample” refers to a material suspected of containing regulatorcells, effectors cells, immune system markers and/or a moleculeassociated with the disease. The sample can be used as obtained directlyfrom the source or following at least one step of (partial)purification. The sample can be prepared in any convenient medium whichdoes not interfere with the method of the invention. Typically, thesample is an aqueous solution or biological fluid as described in moredetail below. The sample can be derived from any source, such as aphysiological fluid, including blood, serum, plasma, saliva, sputum,ocular lens fluid, sweat, faeces, urine milk, ascites fluid, mucous,synovial fluid, peritoneal fluid, transdermal exudates, pharyngealexudates, bronchoalveolar lavage, tracheal aspirations, cerebrospinalfluid, semen, cervical mucus, vaginal or urethral secretions, amnioticfluid, and the like. Preferably, the sample is blood or a fractionthereof. Pretreatment may involve, for example, preparing plasma fromblood, diluting viscous fluids, and the like. Methods of treatment caninvolve filtration, distillation, separation, concentration,inactivation of interfering components, and the addition of reagents.The selection and pretreatment of biological samples prior to testing iswell known in the art and need not be described further.

Unless otherwise indicated, the recombinant DNA and immunologicaltechniques utilized in the present invention are standard procedures,well known to those skilled in the art. Such techniques are describedand explained throughout the literature in sources such as, J. Perbal, APractical Guide to Molecular Cloning, John Wiley and Sons (1984), J.Sambrook et al, Molecular Cloning: A Laboratory Manual, Cold SpringHarbour Laboratory Press (1989), T. A. Brown (editor), EssentialMolecular Biology: A Practical Approach, Volumes 1 and 2, IRL Press(1991), D. M. Glover and B. D. Hames (editors), DNA Cloning: A PracticalApproach, Volumes 14, IRL Press (1995 and 1996), and F. M. Ausubel et al(editors), Current Protocols in Molecular Biology, Greene Pub.Associates and Wiley-Interscience (1988, including all updates untilpresent), Ed Harlow and David Lane (editors) Antibodies: A LaboratoryManual, Cold Spring Harbour Laboratory, (1988), and J. E. Coligan et al(editors) Current Protocols in Immunology, John Wiley & Sons (includingall updates until present), and are incorporated herein by reference.

Acute Phase Inflammatory Markers

Some acute phase inflammatory markers initially increase during animmune response (referred to hereinafter as positive acute phaseinflammatory markers) whilst others initially decrease during an immuneresponse (referred to hereinafter as negative acute phase inflammatorymarkers). Acute phase inflammatory markers are also referred to in theart as acute phase reactants or acute phase proteins. The skilledaddressee will be aware of the many assays which can be used to monitoracute phase inflammatory markers.

Examples of positive acute phase inflammatory markers include, but arenot limited to, c-reactive protein, serum amyloid A, serum amyloid Pcomponent, complement proteins such C2, C3, C4, C5, C9, B, C1 inhibitorand C4 binding protein, fibrinogen, von Willebrand factor,α1-antitrypsin, α1-antichymotrysin, a2-antiplasmin, heparin cofactor II,plasminogen activator inhibitor I, haptoglobin, haemopexin,ceruloplasmin, manganese superoxide dismutase, α1-acid glycoprotein,haeme oxygenase, mannose-binding protein, leukocyte protein I,lipoporotein (a), lipopolysaccharide-binding protein, and interleukinssuch as IL-1, IL-2, IL-6, IL-10 and receptors thereof.

Example of negative acute phase inflammatory markers include, but arenot limited to, albumin, pre-albumin, transferrin, apoAI, apoAII, α2 HSglycoprotein, inter-α-trypsin inhibitor, histidine-rich glycoprotein.

Serum amyloid A (SAA) was discovered as a plasma component that sharesantigenicity with amyloid AA, the chief fibrillar component in reactiveAA amyloid deposits. SAA has been shown to be an acute phase reactantwhose level in blood is elevated to 1000-fold or higher as part of thebody's responses to various injuries including trauma, infection andinflammation.

SAA levels can be determined as known in the art, see for exampleWeinstein et al (1984), Liuzzo et al (1994), O'Hara et al (2000), Kimuraet al (2001) and O'Hanlon et al (2002).

C-reactive protein (CRP) is an important positive acute phase responseprotein, and its concentration in serum may increase as much as1,000-fold during the acute phase response. CRP is a pentamer consistingof five identical subunits, each having a molecular weight of about23,500.

C-reactive protein levels can be determined using techniques known inthe art, these include, but are not limited to, those disclosed in Senjuet al (1983), Weinstein et al (1984), Price et al (1987), Liuzzo et al(1994), Eda et al (1998), Kimura et al (2001) and O'Hanlon et al (2002).

The complement proteins are a group of at least 20 immunologicallydistinct components. They normally circulate in the blood in an inactiveform. They are able to interact sequentially with antigen-antibodycomplexes, with each other and with cell membranes in a complex butadaptable way to destroy viruses and bacteria and pathologically, eventhe hosts own cells. Abnormal serum levels of complement proteins may bedue to either inherited or acquired diseases. At least circulatinglevels of C3 and C4 reflect a balance between complement consumption dueto immune complex formation and increased synthesis due to acute phaseresponse. Methods of measuring complement protein levels are well knownin the art.

Levels of different interleukins can also be determined using proceduresknown in the art such as using the ProteoPlex™ cytokine assay kit (EMDBiosciences Inc., CA, USA).

Agents

The agent can be any factor or treatment useful in treating a diseasecharacterized by the production of regulator cells. Preferably, theagent selectively or non-selectively results in the destruction, theinhibition of the production, or reduction of activity, of regulatorcells. For example, a CD4+ specific antibody could be used tospecifically target CD4+ T cells. However, in some instances anon-selective agent could be used, such as an anti-proliferative drug orradiation, both of which destroy dividing cells. In particular, as withother cell types, regulator cells are particularly vulnerable todestruction by anti-mitotic (anti-proliferative) drugs or spindlepoisons (e.g. Vinblastine or paclitaxel) when dividing and specificallyin mitosis.

The term “anti-proliferative drug” is a term well understood in the artand refers to any compound that destroys dividing cells or inhibits themfrom undergoing further proliferation. Anti-proliferative drugs include,but are not limited to, mechlorethamine, cyclophosphamide, ifosfamide,melphalan, chlorambucil, hexamethyl-melamine, thiotepa, busulfan,carmustine, lomustine, semustine, streptozocin, dacarbazine,methotrexate, fluorouracil, floxuridine, cytarabine, mercaptopurine,thioguanine, pentostatin, vinblastine, anhydro vinblastine, vincristine,etoposide, teniposide, dactinomycin, daunorubicin, doxorubicin,bleomycin, plicamycin, mitomycin, L-asparaginase, cisplatin,mitoxantrone, hydroxyurea, procarbazine, mitotane, aminoglutethimide,prednisone, hydroxyprogesterone caproate, medroprogesterone acetate,megestrol acetate, diethylstilbestrol, ethinyl estradiol, tamoxifen,testosterone propionate, radioactive isotopes, ricin A chain, taxol,diphtheria toxin, colchicine and pseudomonas exotoxin A.

The agents are usually administered in the dosage forms that are readilyavailable to the skilled clinician, and are generally administered intheir normally prescribed amounts (as for example, the amounts describedin the Physician's Desk Reference, 55th Edition, 2001, or the amountsdescribed in the manufacture's literature for the use of the agent).

In one embodiment, the agent is administered as a single bolusinjection. In another embodiment, the agent is administered by infusion.The period of infusion can be, for example, at least 3 hours, at least12 hours or at least 24 hours.

Recent studies have suggested that CD4+CD25+T cells play an importantrole in regulating immune cells directed against self antigens (Salomonet al, 2000; Suri-Payer and Cantor, 2001). Furthermore, targetingCD4+CD25+T cells has been shown to enhance the ability of an animal tocontrol tumour growth (Onizuka et al, 1999; Shimizu et al, 1999;Sutmuller et al, 2001). Accordingly, CD4+CD25+T cells could be acting asregulator cells as used herein. The activity of CD4+CD25+T cells can bedownregulated by anti-GITR, anti-CD28 and/or anti-CTLA-4 (Read et al,2000; Takahashi et al, 2000; Shimizu et al, 2002). Thus, theseantibodies may be useful as agents for use in the methods of the presentinvention. Another example of an agent which can be administered in amethod of the invention is dsRNA. dsRNA is used in RNA interference(RNAi) which is a phenomenon where upon introduction into a cell, mRNAhomologous to the dsRNA is specifically degraded so that synthesis ofgene products is suppressed. Examples of such an agent causing RNAiinclude, but are not limited to, a sequence having at least about 70%homology to the nucleic acid sequence of a target gene or a sequencehybridizable under stringent conditions, RNA containing adouble-stranded portion having a length of at least 10 nucleotides orvariants thereof. Examples of target genes include, but are not limitedto, a gene required for replication of a regulator cell, a gene requiredfor survival of a cancer cell, or a gene required for growth and/orreplication of an infectious agent.

dsRNA having a length of about 20 bases (e.g., representatively about 21to 23 bases) or less than about 20 bases, which is called siRNA in theart, can be used. Expression of siRNA in cells can suppress expressionof a gene targeted by the siRNA. In another embodiment, an agent capableof causing RNAi may have a short hairpin structure having a stickyportion at the 3′ terminus (shRNA; short hairpin RNA). As used herein,the term “shRNA” refers to a molecule of about 20 or more base pairs inwhich a single-stranded RNA partially contains a palindromic basesequence and forms a double-strand structure therein (i.e., a hairpinstructure). shRNA can be artificially chemically synthesized.Alternatively, shRNA can be produced by linking sense and antisensestrands of a DNA sequence in reverse directions and synthesizing RNA invitro with T7 RNA polymerase using the DNA as a template. The length ofthe double-stranded portion is not particularly limited, but ispreferably about 10 or more nucleotides, and more preferably about 20 ormore nucleotides. The 3′ protruding end may be preferably DNA, morepreferably DNA of at least 2 nucleotides in length, and even morepreferably DNA of 2-4 nucleotides in length.

An agent capable of causing RNAi useful for the invention may beartificially synthesized (chemically or biochemically) or naturallyoccurring. There is substantially no difference therebetween in terms ofthe effect of the present invention. A chemically synthesized agent ispreferably purified by liquid chromatography or the like.

An agent capable of causing RNAi used in the present invention can alsobe produced in vitro. In this synthesis system, T7 RNA polymerase and T7promoter can be used to synthesize antisense and sense RNAs fromtemplate DNA. These RNAs are annealed and thereafter are introduced intoa cell.

dsRNA can be delivered to the patient using any means known in the art.Examples of methods of delivering dsRNA to a patient are described in,for example, US 20040180357, US 20040203024 and 20040192629.

Timing of Exposing the Subject to the Agent

For the investigator who randomly applies a single treatment ofanti-proliferative chemotherapy to a cancer patient there is anapproximate 1 in 14, to 1 in 15, chance of getting the timing right. Aone in fourteen chance equates to a 7% probability of applying thetherapy on the correct day, when the regulator cells are vulnerable toinactivation. If this is done, the tumour should regress mediated byimmune destruction. More specifically, it is our hypothesis that oncethe regulators cells have been removed by therapeutic intervention, theimmune response against the tumour or virus can proceed unimpeded,ultimately leading to control of the disease.

Whilst not wishing to be limited by theory, it is believed that therelative number of effector cells expands in response to an antigenbefore the regulator cells. Accordingly, as used herein, the term “theactivity of the effector cells is not significantly reduced” means thatthe timing of the administration of the agent is such that the agentexerts a proportionally greater effect against the regulator cells thanthe effector cells. It is clearly preferred that the agent isadministered at a time when the ratio of effect against the regulatorcells to the effect against effector cells is greatest.

As outlined above, the present invention relies on the phenomenon thatthe immune system is cycling over an approximate 14 to 15 day period ina patient suffering from a disease characterized by the production ofregulator cells. In most instances, the time point that the agent is tobe administered will need to be empirically determined in subjects atdifferent stages of disease as their immune response kinetics may vary.Other factors such as the general health of the subject and/or thegenetic makeup of the subject will also impact upon when is theappropriate time to administer the agent.

As will be appreciated by the skilled addressee, conditions such ascancer and chronic persistent infectious are serious, often lifethreatening, diseases. Due to many factors, not the least of which isnatural variations between individuals, it will be typically be requiredthat a patient be monitored for a reasonable length of time toappreciate the nature of immune cycling in the individual, and formonitoring to analyse a number of factors (such as a combination ofacute phase markers and disease antigens), to ultimately determine themost appropriate time to administer the agent to optimise the chances ofan effective treatment.

Techniques known in the art can be used to monitor the growingpopulation of effector and/or regulator cells during the “cycle”.

Serial blood samples can be collected and quantitatively screened forall CD4+ subsets by FACS analysis. This FACS monitoring will need to bemaintained until the regulator cells begin clonally expanding inresponse to the disease state, whether produced by the tumour oradministered to the subject. Other possible assays for monitoring thegrowing population of regulator cells include lymphocyteproliferation/activation assays and various cytokine level assays (forexample an assay for IL-4, IL-6 or IL-10).

Also, serial blood samples can be collected and quantitatively screenedfor all effector cell activity such as but not limited to CD8+, CRP, SAAand various cytokines. Such effector cell markers will precede theregulator cell markers.

When the disease is cancer another avenue of determining the time pointfor administering the agent is to monitor the tumour load. It isenvisaged that the tumour load decreases due to the activity of theeffector cells, however, the subsequent increase in regulator cellswould down-regulate the effector cells resulting in a slowing of thetumour load decrease. Accordingly, the agent could be administeredapproximately prior to the slowing of the decrease in tumour load.Techniques known in the art, for example RT-PCR or antibody detection,of markers expressed by the tumour, could be used to measure tumour loadin these circumstances. Examples of suitable tumour antigen markerassays include, but are not limited to, for AFP (marker forhepatocellular carcinoma and germ-cell tumours), CA 15-3 (marker fornumerous cancers including breast cancer), CA 19-9 (marker for numerouscancers including pancreatic cancer and biliary tract tumours), CA 125(marker for various cancers including ovarian cancer), calcitonin(marker for various tumours including thyroid medullary carcinoma),catecholamines and metabolites (phaeochromoctoma), CEA (marker forvarious cancers including colorectal cancers and other gastrointestinalcancers), hCG/beta hCG (marker for various cancers including germ-celltumours and choriocarcinomas), 5HIAA in urine (carcinoid syndrome), PSA(prostate cancer), sertonin (carcinoid syndrome) and thyroglobulin(thyroid carcinoma).

Monitoring may need to be very frequent, for example as often as everyfew hours, to ensure the correct time point is selected foradministration of the agent. Preferably, the monitoring is conducted atleast every 48 hours. More preferably, the monitoring is conducted atleast every 24 hours.

Optimally, the monitoring is continued to determine the affect of theagent. Insufficient down-regulation, re-emergence of the regulator cellsor increases in, for example, tumour load will mean that the method ofthe present invention should be repeated. Such repeated cycles oftreatment may generate immunological memory. It is therefore possiblethat the present invention, used in repetitive mode, may provide someprophylactic protective effect.

Vaccines

As outlined above, the inventor has also noted after a survey of theliterature that the treatment of a variety of cancers with therapeuticvaccines, on average yielded a complete response rate of approximately10% (see, for example, Trefzer et al, 2004; Lotem et al., 2004; Smitherset al., 2003; Belli et al., 2002; Berd et al., 2001; Wittig et al.,2001). This implies a window of opportunity of therapeutic applicationof 1.5 days every 14 days (10%). This is similar and well within therealms of probability of the complete response rates of approximately 7%(1 day in 14) seen in cancer chemotherapy reported herein. Thus asimilar mechanism is operating in the vaccine situation whereby theinnoculation of a cancer vaccine into the patient at the correct time issufficient to disturb the regulatory mechanisms/cells allowing theeffectors to kill the tumour resulting in a complete response.

Naturally, vaccines used in the present invention will result in animmune against a disease characterized by the production of regulatorcells. Such vaccine will comprise at least one antigen, or apolynucleotide encoding said antigen. The vaccine can be provided as anyform known in the art such as, but not limited to, a DNA vaccine,ingestion of a transgenic organism expressing the antigen, orcomposition comprising the antigen.

As used herein, an “antigen” is any polypeptide sequence that containsan epitope which is capable of producing an immune response against thedisease.

Antigens which are capable of raising an immune response against acancer cell are well known in the art. Certain tumour antigens can berecognized and targeted by the immune system. This property may be dueto overexpression by the tumour tissue. Some of these antigens can bedetected in normal tissue. The tumour antigens targeted by T cells aregenerally proteins that are processed intracellularly and presented asshort peptide fragments bound in the groove of the tumour MHC class Imolecule to be recognized by CD8+ cytotoxic T lymphocytes. The merepresence of a tumour antigen is not always sufficient to trigger animmune response. Co-stimulatory molecules such as B7.1 are sometimesrequired. Once antigen-specific T cells are stimulated, they are capableof recognizing and destroying the tumour. The conditions needed for theactivation of antigen-specific T cells are stringent, but are open togenetic manipulation of target tumour cells and T cells.

Antigens which can be used to treat infections, such as HIV, are alsowell known in the art

The antigen can be provided in any manner known in the art which leadsto an immune response. An antigen can be, for example, native,recombinant or synthetic. Native antigens can be prepared, for example,by providing cell lysates of a tumour cell.

Vaccines may be prepared from one or more antigens. The preparation ofvaccines which contain an antigen is known to one skilled in the art.Typically, such vaccines are prepared as injectables, or orals, eitheras liquid solutions or suspensions; solid forms suitable for solutionin, or suspension in, liquid prior to injection or oral consumption mayalso be prepared. The preparation may also be emulsified, or the proteinencapsulated in liposomes. The antigen is often mixed withcarriers/excipients which are pharmaceutically acceptable and compatiblewith the active ingredient. Suitable carriers/excipients are, forexample, water, saline, dextrose, glycerol, ethanol, or the like andcombinations thereof.

In addition, if desired, the vaccine may contain minor amounts ofauxiliary substances such as wetting or emulsifying agents, pH bufferingagents, and/or adjuvants which enhance the effectiveness of the vaccine.

Typically, vaccines comprise an adjuvant As used herein, the term“adjuvant” means a substance that non-specifically enhances the immuneresponse to an antigen. Examples of adjuvants which may be effectiveinclude but are not limited to:N-acetyl-muramyl-L-threonyl-D-isoglutamine (thr-MDP),N-acetyl-nor-muramyl-L-alanyl-D-isoglutamine (CGP 11637, referred to asnor-MDP),N-acetylmuramyl-L-alanyl-D-isoglutaminyl-L-alanine-2-(1-2-dipalmitoyl-sn-glycero-3-hydroxyphosphoryloxy)-ethylamine(CGP 19835A, referred to as MTP-PE), and RIBI, which contains threecomponents extracted from bacteria, monophosphoryl lipid A, trehalosedimycolate and cell wall skeleton (MPL+TDM+CWS) in a 2% squalene/Tween80 emulsion. Further potassium sulfate (alum), bacterial endotoxin,lipid X, Corynebacterium parvum (Propionobacterium acnes), Bordetellapertussis, polyribonucleotides, sodium alginate, lanolin, lysolecithin,vitamin A, saponin, liposomes, levamisole, DEAE-dextran, blockedcopolymers or other synthetic adjuvants. Such adjuvants are availablecommercially from various sources, for example, Merck Adjuvant 65 (Merckand Company, Inc., Rahway, N.J.) or Freund's Incomplete Adjuvant andComplete Adjuvant (Difco Laboratories, Detroit, Mich.).

The proportion of antigen and adjuvant can be varied over a broad rangeso long as both are present in effective amounts. For example, aluminiumhydroxide can be present in an amount of about 0.5% of the vaccinemixture (Al₂O₃ basis). Conveniently, the vaccines are formulated tocontain a final concentration of antigenic polypeptide in the range offrom 0.2 to 200 μg/ml, preferably 5 to 50 μg/ml, most preferably 15μg/ml.

After formulation, the vaccine may be incorporated into a sterilecontainer which is then sealed and stored at a low temperature, forexample 4° C., or it may be freeze-dried. Lyophilisation permitslong-term storage in a stabilised form.

The vaccines are conventionally administered parenterally, by injection,for example, either subcutaneously or intramuscularly. Additionalformulations which are suitable for other modes of administrationinclude suppositories and, in some cases, oral formulations. Forsuppositories, traditional binders and carriers may include, forexample, polyalkylene glycols or triglycerides; such suppositories maybe formed from mixtures containing the active ingredient in the range of0.5% to 10%, preferably 1% to 2%. Oral formulations include suchnormally employed excipients as, for example, pharmaceutical grades ofmannitol, lactose, starch, magnesium stearate, sodium saccharine,cellulose, magnesium carbonate, and the like. These compositions takethe form of solutions, suspensions, tablets, pills, capsules, sustainedrelease formulations or powders and contain 10% to 95% of activeingredient, preferably 25% to 70%. Where the vaccine composition islyophilised, the lyophilised material may be reconstituted prior toadministration, e.g. as a suspension. Reconstitution is preferablyeffected in buffer.

Capsules, tablets and pills for oral administration to a patient may beprovided with an enteric coating comprising, for example, Eudragit “S”,Eudragit “L”, cellulose acetate, cellulose acetate phthalate orhydroxypropylmethyl cellulose.

DNA vaccination involves the direct in vivo introduction of DNA encodingan antigen into tissues of a subject for expression of the antigen bythe cells of the subject's tissue. Such vaccines are termed herein “DNAvaccines” or “nucleic acid-based vaccines”. DNA vaccines are describedin U.S. Pat. No. 5,939,400, U.S. Pat. No. 6,110,898, WO 95/20660 and WO93/19183, the disclosures of which are hereby incorporated by referencein their entireties.

To date, most DNA vaccines in mammalian systems have relied upon viralpromoters derived from cytomegalovirus (CMV). These have had goodefficiency in both muscle and skin inoculation in a number of mammalianspecies. A factor known to affect the immune response elicited by DNAimmunization is the method of DNA delivery, for example, parenteralroutes can yield low rates of gene transfer and produce considerablevariability of gene expression. High-velocity inoculation of plasmids,using a gene-gun, enhanced the immune responses of mice, presumablybecause of a greater efficiency of DNA transfection and more effectiveantigen presentation by dendritic cells. Vectors containing the nucleicacid-based vaccine of the invention may also be introduced into thedesired host by other methods known in the art, e.g., transfection,electroporation, microinjection, transduction, cell fusion, DEAEdextran, calcium phosphate precipitation, lipofection (lysosome fusion),or a DNA vector transporter.

Transgenic plants producing a antigenic polypeptide can be constructedusing procedures well known in the art. A number of plant-derived ediblevaccines are currently being developed for both animal and humanpathogens. Immune responses have also resulted from oral immunizationwith transgenic plants producing virus-like particles (VLPs), orchimeric plant viruses displaying antigenic epitopes. It has beensuggested that the particulate form of these VLPs or chimeric virusesmay result in greater stability of the antigen in the stomach,effectively increasing the amount of antigen available for uptake in thegut.

EXAMPLES Example 1

Provided below are examples of typical assays used to monitor some acutephase inflammatory markers, as well as the ovarian cancer marker CA125.

C-Reactive Protein

C-Reactive Protein was measured using a DADE Behring Dimension RxLChemistry Analyser, with reagents and calibrators supplied by DadeBehring Diagnostics (Sydney, Australia) (reagent-Cat No. DF-34;calibrators Cat No. DC-34).

The CRP method is based on a particle enhanced turbidimetric immunoassaytechnique. Latex particles coated with antibody to C-Reactive Proteinaggregate in the presence of C-Reactive Protein in the sample. Theincrease in turbidity which accompanies aggregation is proportional tothe C-Reactive Protein concentration. INTRA-ASSAY PRECISION INTER-ASSAYPRECISION MEAN MEAN mg/L CV N mg/L CV N 3.4 4.3% 20 4.6 5.6% 64 57.52.3% 20 37.0 3.0% 64 225.8 2.0% 20REFERENCE RANGE: 0-5 mg/LANALYTICAL RANGE: 0.5-500 mg/LCancer Antigen 125 (CA125)

AxSym CA 125 was based on Microparticle Enzyme Immunoassay (MEIA)technology carried out on an Abbott Diagnostics AxSym with reagents andcalibrators supplied by Abbott Diagnostics (AxSym Reagent pack-Cat No.3B41-22; calibrators-Cat No. 9C22-01).

Sample, Anti CA 125 coated microparticles and specimen diluent arepipetted in one well of the reaction vessel. The CA 125 binds to theAnti-CA 125 coated microparticles forming an Ab-Ag complex. An aliquotof the reaction mixture containing the Ab-Ag complex bound to themicroparticles bind irreversibly to the glass fiber matrix. The matrixcell is washed with the wash buffer to remove the unbound materials. Theanti-CA 125 subunit specific ALP conjugate is dispersed onto the matrixcell and binds with the Ab-Ag complex. The matrix cell is washed toremove unbound material. The substrate, 4-methyl umbelliferyl phosphate,is added to the matrix cell and the fluorescent product is measured bythe MEIA optical assembly.

Dilutions are made with Abbott CA 125 specimen diluent (No. 3B41-50).

The coefficient of Variation as assessed from routine quality controlsera at two levels (Abbott Tumour Marker Control (9C22-10 levels 1, 2 &3) is as follows: MEAN SD CV % N $T, LEVEL 1 U/mL 27 2.5 9.4 64 $T,LEVEL 2 U/mL 78 5.5 7.1 64 $T, LEVEL 3 U/mL 211 21.4 10.2 54REFERENCE RANGES: 0-35 U/mLANALYTICAL RANGE: 2-600 U/mLInterleukin 2 Receptor (IL2R)

The receptor of the cytokine interleukin 2 (IL2R) was measured by acommercial automated chemiluminescent Enzyme Immuno Assay (EIA) using anImmulite Analyser from Diagnostic Products Corporation (Los Angeles,Calif., USA).

This is a competitive immunoassay using Alkaline Phosphatase labelledIL2R as tracer and adamantyl dioxetane as luminescent substrate for ALPenzyme.

All reagents and calibrators are supplied in kit form by DPC—Cat No.LKIPZ.

Analytical Performance: MEAN SD CV % LEVEL 1 213 U/mL 13 6.1 LEVEL 2 752U/mL 49 6.5 LEVEL 3 2463 U/mL 189 7.7ANALYTICAL RANGE: 5-7,500 U/mLREFERENCE RANGE: 223-710 U/mL**Study performed on 87 apparently healthy adults.Interleukin 6

The cytokine interleukin 6 was measured by a commercial automatedchemiluminescent Enzyme Immuno Assay (EIA) using an Immulite Analyserfrom Diagnostic Products Corporation (Los Angeles, Calif., USA).

This is a competitive immunoassay using Alkaline Phosphatase labelledIL-6 as tracer and adamantyl dioxetane as luminescent substrate for ALPenzyme.

All reagents and calibrators are supplied in kit form by DPC—Cat No.LK6PZ.

Analytical Performance: MEAN SD CV % LEVEL 1 88 pg/mL 4.5 5.1 LEVEL 2230 pg/mL 12.2 5.3 LEVEL 3 638 pg/mL 46.6 7.3ANALYTICAL RANGE: 2-1000 pg/mLREFERENCE RANGE: <4.1 pg/mL**Study performed on 60 apparently healthy laboratory volunteers.Interleukin 10

The cytokine interleukin 10 was measured by a commercial automatedchemiluminescent Enzyme Immuno Assay (EIA) using an Immulite Analyserfrom Diagnostic Products Corporation, Los Angeles, Calif. USA.

This is a competitive immunoassay using Alkaline Phosphatase labelledIL-10 as tracer and adamantyl dioxetane as luminescent substrate for ALPenzyme.

All reagents and calibrators are supplied in kit form by DPC—Cat No.LKXPZ.

Analytical Performance: MEAN SD CV % LEVEL 1 18.2 pg/mL 1.8 9.9 LEVEL 246.0 pg/mL 2.2 4.8 LEVEL 3 177 pg/mL 8.0 4.5ANALYTICAL RANGE: 5-1000 pg/mLREFERENCE RANGE: <9.1 pg/mL**Study performed on 55 apparently healthy adults.Serum Amyloid A

Polystyrene particles coated with antibodies to human SAA areagglutinated when mixed with samples containing SAA. The intensity ofthe scattered light in the nephelometer depends on the concentration ofthe analyte in the sample and consequently its concentration can bedetermined by comparison with dilutions of a standard of knownconcentration. IMPRECISION: CV 4.7% @ 192 mg/L N = 404 CV 2.8% @ 7.0mg/L N = 40REFERENCE RANGE: In a population with normal serum CRP levels (95^(th)percentile=5.0 mg/L N=483) the 95^(th) percentile for N Latex SAA wasfound to be at 6.4 mg/L ANALYTICAL RANGE: 3.0-200 mg/LComplement C3

The automated method used to measure complement C3 concentration inserum samples by nephelometric analysis using a Dade Behring ProSpectanalyzer with reagents and calibrators supplied by Dade BehringDiagnostics (Sydney, Australia).

Soluble antigen solution (sample) and specific antibodies (antiserum CatNo. OSAP15) are mixed in the reaction cuvettes. Insolubleantigen—antibody complexes form immediately, producing turbidity in themixture and increasing the amount of light scattered by the solution.Following an incubation period the absorbance of the solution ismeasured at the analytical wavelength. IMPRECISION: CV 5.5% @ 1.05 g/L N= 61 CV 3.2% @ 2.70 g/L N = 61REFERENCE RANGE: 0.81-1.85 g/LANALYTICAL RANGE: 0.10-3.50 g/LComplement C4

The automated method used to measure complement C4 concentration inserum samples by nephelometric analysis using a Dade Behring ProSpectanalyzer with reagents and calibrators supplied by Dade BehringDiagnostics (Sydney, Australia).

Soluble antigen solution (sample) and specific antibodies (antiserum CatNo. OSAO15) are mixed in the reaction cuvettes. Insolubleantigen—antibody complexes form immediately, producing turbidity in themixture and increasing the amount of light scattered by the solution.Following an incubation period the absorbance of the solution ismeasured at the analytical wavelength. IMPRECISION: CV 4.7% @ 0.20 g/L N= 61 CV 3.8% @ 0.53 g/L N = 61REFERENCE RANGE: 0.10-0.40 g/LANALYTICAL RANGE: 0.03-1.50 g/L

Example 2

An elderly female ovarian cancer patient was monitored for about 12 daysfor fluctuations in the levels of c-reactive protein, serum amyloid Aand the tumour marker CA125. Monitoring was performed using standardlaboratory tests on blood samples collected every other day. The patienthad not recently been exposed to any anti-cancer therapy. Furthermore,there was no evidence that the patient was suffering from any diseasesother than cancer. The CA125 (an ovarian cancer marker) was monitored asan indicator of disease burden.

As shown in FIG. 1A, c-reactive protein (CRP) levels peaked at thebeginning of the monitoring period. Furthermore, as shown in FIG. 1Bserum amyloid A levels were elevated at the same time of the CRP peak.

These results indicate that;

i) the levels of acute phase inflammatory proteins are fluctuating in acancer patient in the absence of any other known factors which mightcause these fluctuations such as viral infection or chemotherapy,

ii) elevated levels of acute phase inflammatory proteins was associatedwith lower levels of tumour antigens suggesting the presence of effectorcells, and

iii) increased levels of tumour antigen is associated with lower levelsof acute phase inflammatory proteins suggesting that regulator cellshave counteracted the beneficial activity of the effector cells suchthat these cells are no longer active against the tumour cells.

Example 3

A human subject suffering from a HIV infection was subjected to highlyactive antiretroviral therapy (HAART) for at least 6 months and thentaken off the treatment. C-reactive protein levels were determined usingstandard techniques on samples obtained during and after the completionof HAART.

As can be seen in FIG. 2, the results show that upon conclusion of HAARTc-reactive protein levels began to cycle, peaking approximately every 14days.

Example 4

Serum CRP was used to monitor the immune response in HIV patient who hadstopped their anti-retroviral therapy (FIG. 3). In this study CRP levelsmimicked viral load fluctuations as the immune response switched on andoff (FIG. 3). It is interesting to note that these CRP fluctuations havean approximate 14 day cycle.

Example 5

The “Pubmed” database (http://www.ncbi.nlm.nih.gov/) was searched forthe abstracts of journal articles which described the results of PhaseII or Phase III clinical trials using anti-cancer agents (such asvinblastine and taxol) for the treatment of cancer. Other criteria thatwere used to select the “abstracts” were that the cancer was at a latestage (stage III or stage IV) and the disease had disseminated. Somestudies used a single drug whereas others used combinations. No othercriteria were used and studies with an atypical complete response ratewere not disregarded.

The complete response rate (as indicated in the abstracts) for eachtrial was used to determine the average complete response rate of eachtype of cancer. The results are provided as Table 1. Notably, theaverage complete response rate varied only a small degree, namelybetween 5.1 to 8.2% for all cancers analysed. The results provided inTable 1 were used to determine the overall average complete responserate. This average complete response rate was 6.6% over at least 10different types of cancers when considering the 144 trials analysed.

With specific regard to the data provided for ovarian cancer it shouldbe noted that one study (Adachi et al., 2001) observed a completeresponse rate of 25% which was very large compared to the other 143trials. This study looked at eight patients, with two patients providinga complete response rate. Whilst this is well within the realms ofpossibility, if the study is ignored the overall complete response ratefor the remaining ovarian cancer studies is 7.1%.

The complete response rates are remarkably consistent between thedifferent cancers, and treatment regimes thereof, suggesting anunderlying factor relevant to all cancers and treatments thereof. Asdescribed herein, this factor is that the immune system is cycling.Accordingly, it can be argued that the complete response rates providedin Table 1 are the result of the anti-cancer agent being administered atan appropriate time such that effector cell numbers are maximized whilstregulator cell numbers are reduced or removed, or activity isdown-regulated or compromised, by the anti-cancer agent sufficient toelicit a complete response. TABLE 1 Complete Response Rates Resultingfrom Clinical Trails with Anti-Cancer Drugs against Various Cancers.Cancer Type Complete Response Rate (%) Number of Trials Mesothelioma^(a)5.1 10 Gastric^(b) 7.33 15 Hepatocellular^(c) 6.6 8 Pancreatic^(d) 7.354 Melanoma^(e) 7.5 15 Prostate^(f) 5.15 7 NSC Lung^(g) 5.85 6 Breast^(h)7.36 19 Ovarian^(i) 8.2 15 Colorectal^(j) 6.85 28 Miscellaneous^(k) 6.017^(a)Tsavaris et al (1997), Monnet et al (2002), Pinto et# al (2001), Kindler et al (1999), Yogelzang et al (1997), Planting # etal (1995), Chahinian et al (1993), Raghavan et al (1990), Henss # et al(1988) and Mbidde et al (1986).^(b)Kollmannsberger et al (2000), Sugimachi et al (2000), Jeen# et al (2001), Yamada et al (2001), Aitini et al (2001), Cho et # al(2002), Kornek et al (2002), Hofheinz et al (2002), Constenla et # al(2002), Kim et al (2002), Louvet et al (2002), Kikuyama et # al (2002),Bar Sela et al (2002), Murad et al (1999) and Sakata et al (1998).^(c)Porta et al (1995), Pohl et al (2001), Oon et al (1980), Choi# et al (1984), Zeng et al (1998), Carr et al (1997), Patt et al (2003)and # Leung et al (1999).^(d)Murad et al (2003), Ashamalla et al (2003), Safran et# al (2002) and Sherman et al (2001).^(e)Retsas et al (1996), Nathan et al (2000), Bafaloukos et# al (2002), Bafaloukos et al (2002), Buzaid et al (1998), Gibbs et # al(2000), Atkins et al (2002), Gundersen et al (1989), Johnson et # al(1985), Nystrom et al (2003), Einzig et al (1991), Bedikian et # al(1995), Einzig et al (1996), Nathan et al (2000) and Chapman et al(2002).^(f)Hudes et al (1997), Kelly et al (2001), Savarese et# al (1999), Small et al (2001), Savarese et al (2001), Trivedi et # al(2000) and Picus et al (1999).^(g)Marietta et al (2002), Recchia et al (2002), Perng et# al (2000), Ginopoulos et al (1999), Paccagnella et al (1996) and #Agelaki et al (2001).^(h)Freyer et al (2003), Morabito et al (2003), Kosmas et# al (2003), Gebbia et al (2003), Thomas et al (1994), Romero et # al(1994), Pectasides et al (2001), Frasci et al (2002), Stathopoulos # etal (2002), Gomez-Bernal et al (2003), Freyer et al (2003), Kornek # etal (1998), Michelotti et al (1996), Kakolyris et al (1999), Twelves # etal (1994), Fumoleau et al (1993) and Ibrahim et al (1999).^(i)Li et al (2002), Sehouli et al (2002), Rose et al (2003), Faivre# et al (2002), Dieras et al (2002), Adachi et al (2001), Sutton et # al(1994), McClay et al (1995), Manetta et al (1994), Guastalla et # al(1994), Covens et al (1992), Einzig AI. (1994), Kjorstad et # al (1992),Ozols et al (1984), Planner et al (1996) and Amadori et al (1997).^(j)Cassinello et al (2003), Glimelius et al (2002), Calvo et# al (2002), Scheithauer et al (2002), Neri et al (2002), Falcone et #al (2001), Kouroussis et al (2001), Meropol et al (2001), Comella et #al (2000), Cascinu et al (1999), Sobrero et al (1995), Gamelin et # al(1998), Romero et al (1998), Beerblock et al (1997), Blanke et # al(1997), Grem et al (1993), Jeremic et al (1993), Posner et # al (1992),Sinnige et al (1990), LoRusso et al (1989), Petrelli # et al (1989).Valdivieso et al (1981), Cassinello et al (2003), Reina # et al (2003),Comella et al (1999), Neri et al (1998), Pyrhonen et # al (1992) andBeck et al (1984).^(k)Cancers included renal cell carcinoma, adenocarcinoma, squamous# cell carcinoma, uterine cervical cancer, glioblastoma multiforme,metastatic # osteosarcoma, urothelial cancer and endometrial cancer.Described by # Schornagel et al (1989), Liu et al (2001), Forastiere etal (1987), Okuno # et al (2002), Takasugi et al (1984), Hurteloup et al(1986), Kakolyris # et al (2002), Morris et al (1998), Takeuchi et al(1991), Fountzilas et # al (1999), Rosenthal et al (2000), Goorin et al(2002), Rodriguez-Galindo # et al (2002), Ahmad et al (2002), DiPaola etal (2003) and Lissoni et al (1996).

If the typical cycle of effector/regulator cell numbers is considered asabout 15 days, the data in Table 1 suggest a one day window toadminister the anti-cancer therapy to achieve a complete response rate.Partial response rates in the order of 30% are typically notedsuggesting that if the agent is administered at a 24 to 36 hour periodeither side of this “one day window” a beneficial effect can also beachieved.

Example 6

Patient

The patient was a 75 year old female designated herein “Mrs OM”.

History

Liver cirrhosis, ischaemic heart disease, insulin dependent diabetic.Diagnosed with squamous cell carcinoma of lower oesophagus by endoscopyand biopsy/histology May 2004. The cancer resulted in the patientfinding it difficulty to swallow.

Tumour Description

Five centimetre circumferential mass at the base of the oesophagus,partially occluding the lumen. Unknown epithelial/mural penetration.

Therapy Regimen

Radiotherapy approx 33 courses of 15 minutes duration every week dayover 6-8 weeks. Plus limited chemotherapy due to underlying othermedical conditions.

The oncologist agreed to give two application of chemotherapy (˜8 hrinfusion of 5 Fluorouracil and Carboplatin). The application would becoordinated with the patient's immune response cycle/oscillation toattempt timed down-regulation of cycling tumour specific regulatorcells.

Monitoring and Therapeutic Intervention

To detect the immune response oscillation, monitoring of the patient'simmune response started on the 28/5/2004, day 1, using the followingassays; CRP, SAA, C3, C4 & CA125. CA125 was used to monitor diseaseprogression as this has been reported in the literature in the case ofsquamous cell carcinoma of the oesophagus.

During the initial stages of monitoring, the patient reported increaseddifficulty in swallowing, most likely due to the tumour growing. Thiswas corroborated by a consistent rise in all the measured parameters(see FIGS. 4 to 7).

Interestingly the climbing CA125 briefly plateaued over an approximate24 hr period, (FIG. 6 day 12-14) only to rise at a steeper gradientbeyond that point. This was interpreted as the patient's immune responseswitching on and modulating the tumour growth and marker (CA125), onlyto switch off due to immune regulation at the end of the approximate 24hr period.

This approximate 24 hr period established the end of one about 14 daycycle and the beginning of the next, and therefore a potentialintervention point or a reference point for projecting ahead to furtherintervention points.

Having defined the beginning and end of the ˜14 day cycle it was nowpossible to anticipate and project forward a number of days to bestestimate two potential chemotherapeutic intervention pointsapproximately 2 weeks apart.

It was decided to take blood/measurements from the patient on theTuesday, Wednesday and Thursday (FIG. 7, 13, 14 & 15 July, days 46, 47 &48, arrowed as B) to accurately define the therapeutic interventionpoint or window. If the cycle had been accurately determined, a peakfollowed by a down turn in the CRP should be seen over those days onwhich analysis was carried out. (FIG. 7). This pattern in the CRP shouldbe repeated approximately 14 days later and in keeping with thepersistent periodicity of the immune response oscillation. This wasfound to be the case (FIG. 7).

Based on the CRP results, the inventor recommended to the oncologist toadminister the first application of chemotherapy about Wednesday14/7/2004 or Thursday 15/7/2004. However, Mrs OM had already been bookedfor chemotherapy on Friday 16/7/2004, and the oncologist decided not tochange this appointment. Since this date was just after the peak in theCRP (FIG. 7, arrowed as C) it was felt by the inventor that the windowof opportunity may have been missed because the application of therapymay be 24 hrs too late. The inventor expected that at the time thetherapy was administered CRP would have begun to rise again. Thisprediction proved correct as no effect was apparent on the tumour afteradministration of the chemotherapy.

A second intervention point was determined/predicted and blood was takenon the Wednesday and Thursday (FIG. 7, 28^(th) & 29^(th) July, days 63and 64 arrowed as D). The prediction was confirmed by a peak in the CRPanalysis indicating Friday 30/7/2004, day 65 (FIG. 7, arrowed as E) asthe optimal intervention point for application of chemotherapy.Chemotherapy was administered as an 8 hr infusion on the Friday. On thisoccasion the inventor predicted that this would be appropriate time toadminister the therapy as the CRP would still be decreasing.

On the Saturday the patient developed a mild fever and felt generallyunwell. Early afternoon on the Sunday 1^(st) August, day 67, (FIG. 7,arrowed as F), the patient haemorrhaged from the tumour site andconsequently was admitted to hospital. The patient lost about 150 mls ofblood and received 2 units of blood that day and intravenousfluids/nourishment for the next 9 days.

CRP was measured on Apr. 8, 2004, day 69 (FIG. 7, arrowed as G), and wasfound to have dropped significantly.

On the last day of hospitalisation the patient's esophagus was examinedendoscopically. No tumour was evident (FIG. 7, arrowed as H).

Interpretation

The patient's oscillating antitumour immune response was released fromregulation by the timed targeting of tumour specific regulator cells bythe single administration of the chemotherapeutic agents at the rightdesignated time. This is when immune regulatory cells are clonallyactive, in mitosis and thus vulnerable to down-regulation. Once releasedfrom regulation the anti-tumour immune response resulted in a febrileepisode as reported by the patient on day 66 and subsequent tumourdestruction. The immune mediated tumour destruction resulted inhaemorrhage due to the tumour's potential invasive involvement in theepithelium/wall of the oesophagus.

The above actions and observations demonstrates the following:

-   -   It is possible to detect a persistent regular oscillation in the        cancer patient.    -   This oscillation is associated with the tumour burden.    -   The oscillation has an approximate 14 day periodicity with a 7        day sub cycle.    -   The beginning and end of the cycle can be determined by        different parameters such as but not limited to CRP, SAA, C3, C4        and tumour antigen levels.    -   The narrow window of opportunity for the application of a single        administration of chemotherapy can be determined.    -   A single chemotherapeutic administration at the correct time        directed against the cancer patient's immune system can lead to        a successful therapeutic outcome.

Example 7

The patient was a 71 year old female designated herein “Mrs FO”.Previously Mrs FO was diagnosed with ovarian cancer, received surgeryand several rounds of standard chemotherapy. Patient represented withelevated CA125 at 200 U/ml prior to monitoring.

Patient was monitored (bled) every Monday, Wednesday & Friday for 4weeks. A well described near synchronous and regular oscillation with a7/14 day periodicity showing a close correlation between CRP, SAA & IL-2serum measurements (see FIGS. 8 and 9). More interestingly, FIG. 10which shows CRP & CA125 versus time, the CRP and CA125 oscillations areout of phase, indicating an inverse relationship between the immunesystem and the cancer marker.

FIG. 11 shows the relationship over time between SAA and complementfactor C3. Note that the two major C3 peaks are approximately 14 daysapart and coincide with alternating SAA peaks which are alsoapproximately 14 days apart. This supports a hypothesis that the 7 daypeaks represent alternating T and B cell clonal expansions and the majorC3 peaks are B cell associated as complement is associated with antibodymediated lysis. This observation can assist in establishing thebeginning and end of a cycle and therefore can also assist indetermining the therapeutic intervention point.

Example 8

The patient was a 64 year old male designated herein “Mr GA”. Bowelcancer was first diagnosed 1997, following which the patient was exposedto surgery, chemotherapy and radiotherapy. Lung recurrence was diagnosedby needle biopsy in February 2004. The patient was determined to possessmultiple lesions and was subjected to 12 rounds of chemotherapy. Thelast chemotherapy was in September 2004. The most recent scan identifiedat least one 2 cm lesion upper left lung. Currently, relativelywell/active (mid October 2004).

Blood was taken every other day (Monday, Wednesday, Friday) for 15 days.CRP was measured, with the resulting showing an approximate and regular7/14 day CRP oscillation.

Example 9

A post menopausal opherectomised patient (WB) with re-emerging tumourand elevated CA125 levels was ask to record the frequency of hot flushesor febrile episodes and grade them as mild, moderate or severe. Theintensity of these episodes were matched to the immune response CRPoscillation. The more intense episodes and their increased frequencywere coincident with the large peaks. Thus recording body temperaturemay be used as an adjunct to define the beginning and or end of theimmune response oscillation for the purposes of timing the applicationof therapy.

Cross-Reference to Related Applications

The present application claims priority from Provisional PatentApplication No 2003905858 filed on 24 Oct. 2003, the contents of whichis incorporated herein by reference.

It will be appreciated by persons skilled in the art that numerousvariations and/or modifications may be made to the invention as shown inthe specific embodiments without departing from the spirit or scope ofthe invention as broadly described. The present embodiments are,therefore, to be considered in all respects as illustrative and notrestrictive.

All publications discussed above are incorporated herein in theirentirety.

Any discussion of documents, acts, materials, devices, articles or thelike which has been included in the present specification is solely forthe purpose of providing a context for the present invention. It is notto be taken as an admission that any or all of these matters form partof the prior art base or were common general knowledge in the fieldrelevant to the present invention as it existed before the priority dateof each claim of this application.

REFERENCES

-   Adachi, S., Ogasawara, T., Ito, K., Koyama, M., et al (2001) Oncol.    Rep. 8:285-288.-   Agelaki, S., Bania, H., Kouroussis, C., Blazoyiannakis, G., et    al (2001) Lung Cancer 4:S77-80.-   Ahmad, S. A., Patel, S. R., Ballo, M. T., Baker, T. P., et    al (2002) J. Clin. Oncol. 20:521-527.-   Aitini, E., Rabbi, C., Mambrini, A., Cavazzini, G., et al (2001)    Tumori 87:20-24.-   Amadori, D., Sansoni, E. and Amadori, A. (1997) Frontiers in    Bioscience 2:20-26.-   Ashamalla, H., Zaki, B., Mokhtar, B., Colella, F., et al (2003)    Int. J. Radiat. Oncol. Biol. Phys. 55:679-687.-   Atkins, M. B., Gollob, J. A., Sosman, J. A., McDermott, D. F., et    al (2002) Clin. Cancer Res. 8:3075-3081.-   Aziz, M., Akhtar, S. and Malik, A. (1998) Cancer Detect. Prev.    22:87-99.-   Bafaloukos, D., Aravantinos, G., Fountzilas, G., Stathopoulos, G.,    et al (2002) Oncology 63:333-337.-   Bafaloukos, D., Gogas, H., Georgoulias, V., Briassoulis, E., et    al (2002) J. Clin. Oncol. 20:420-425.-   Bar Sela, G., Tsalic, M., Gaitini, D., Steiner, M., et al (2002) J.    Chemother. 14:623-626.-   Beck, T. M., Curtis, P. W., Woodard, D. A., Hart, N. E., et    al (1984) Cancer Treat. Rep. 68:647-650.-   Bedikian, A. Y., Weiss, G. R., Legha, S. S., Burris, H. A., et    al (1995) J. Clin. Oncol. 13:2895-2899.-   Beerblock, K., Rinaldi, Y., Andre, T., Louvet, C., et al (1997)    Cancer 79:1100-1105.-   Belli F, Testori A, Rivoltini L, Maio M, et al. (2002) J Clin Oncol.    20:4169-4180.-   Berd D, Sato T, Cohn H, Maguire H C Jr, Mastrangelo M J. (2001)    Int J. Cancer. 94:531-539.-   Blanke, C. D., Kasimis, B., Schein, P., Capizzi, R., et al (1997) J.    Clin Oncol. 15:915-920.-   Buzaid, A. C., Colome, M., Bedildan, A., Eton, O., et al (1998)    Melanoma Res. 8:549-556.-   Calvo, E., Cortes, J., Rodriguez, J., Fernandez-Hidalgo, O., et    al (2002) Clin. Colorectal Cancer 2:104-110.-   Carr, B. I., Zajko, A., Bron, K., Orons, P., et al (1997) Semin.    Oncol. 24:S6-97-S6-99.-   Cascinu, S., Silva, R. R., Labianca, R., Barni, S., et al (1999)    Ann. Oncol. 10:985-987.-   Cassinello, J., Escudero, P., Salud, A., Marcos, F., et al (2003)    Clin. Colorectal Cancer 3:108-112.-   Cassinello, J., Lopez-Alvarez, P., Martinez-Guisado, A., Valladares,    M., et al (2003) Med. Oncol. 20:37-43.-   Chahinian, A. P., Antman, K., Goutsou, M., Corson, J. M., et    al (1993) J. Clin. Oncol. 11:1559-1165.-   Chapman, P. B., Panageas, K. S., Williams, L., Wolchok, J. D., et    al (2002) Melanoma Res. 12:381-387.-   Cho, E. K., Lee, W. K., Lim do, Y., Bang, S. M., et al (2002) J.    Korean Med. Sci. 17:348-352.-   Choi, T. K., Lee, N. W. and Wong, J. (1984) Cancer 53:401-405.-   Comella, P., De Vita, F., Mancarella, S., De Lucia, L., et al (2000)    Ann. Oncol. 11:1323-1333.-   Comella, P., Lorusso, V., Casaretti, R., De Lucia, L., et al (1999)    Tumori. 85:465-472.-   Constenla, M., Garcia-Arroyo, R., Lorenzo, I., Carrete, N., et    al (2002) Gastric Cancer 5:142-147.-   Covens, A., O'Connell, G., Rusthoven, J. and Mazurka, J. (1992)    Eur. J. Gynaecol. Oncol. 13:125-130.-   Dieras, V., Bougnoux, P., Petit, T., Chollet, P., et al (2002) Ann.    Oncol. 13:258-266.-   DiPaola, R. S., Rubin, E., Toppmeyer, D., Eid, J., et al (2003) Med.    Sci. Monit. 9:P15-11.-   Eda, S., Kaufmann, J., Roos, W. and Phol, S. (1998) J. Clin. Lab.    Analysis 12:137-144.-   Einzig, A. I. (1994) Ann. Oncol. 6:S29-32.-   Einzig, A. I., Hochster, H., Wiernik, P. H., Trump, D. L., et    al (1991) Invest New Drugs 9:59-64.-   Einzig, A. I., Schuchter, L. M., Recio, A., Coatsworth, S., et    al (1996) Med. Oncol. 13:111-117.-   Faivre, S., Le Chevalier, T., Monnerat, C., Lokiec, F., et al (2002)    Ann. Oncol. 13:1479-1489.-   Falcone, A., Allegrini, G., Masi, G., Lencioni, M., et al (2001)    Oncology 61:28-35.-   Forastiere, A. A., Gennis, M., Orringer, M. B. and    Agha, F. P. (1987) J. Clin. Oncol. 5:1143-1149.-   Fountzilas, G., Karavelis, A., Capizzello, A., Kalogera-Fountzila,    A., et al (1999) J. Neunooncol 45:159-165.-   Frasci, G., D'Aiuto, G., Comella, P., Thomas, R., et al (2002)    Oncology 62:25-32.-   Freyer, G., Delozier, T., Lichinister, M., Gedouin, D., et    al (2003) J. Clin. Oncol. 21:35-40.-   Fumoleau, P., Delgado, F. M., Delozier, T., Monnier, A., et    al (1993) J. Clin. Oncol. 11:1245-1252.-   Gamelin, E., Boisdron-Celle, M., Delva, R., Regimbeau, C., et    al (1998) J. Clin. Oncol. 16:1470-1478.-   Gebbia, V., Blasi, L., Borsellino, N., Caruso, M., et al (2003)    Anticancer Res. 23:765-771.-   Gibbs, P., Iannucci, A., Becker, M., Allen, J., et al (2000)    Melanoma Res. 10:171-179.-   Ginopoulos, P., Mastronikolis, N. S., Giannios, J., Karana, A., et    al (1999) Lung Cancer 23:31-37.-   Glimelius, B., Ristamaki, R., Kjaer, M., Pfeiffer, P., et al (2002)    Ann. Oncol. 13:1868-1873.-   Gomez-Bernal, A., Cruz, J. J., Garcia-Palomo, A., Arizcun, A., et    al (2003) Am. J. Clin. Oncol. 26:127-131.-   Goorin, A. M., Harris, M. B., Bernstein, M., Ferguson, W., et    al (2002) J. Clin. Oncol. 20:426-433.-   Grem, J. L., Jordan, E., Robson, M. E., Binder, R. A., et    al (1993) J. Clin. Oncol. 11:1737-1745.-   Guastalla, J. P., Vermorken, J. B., Wils, J. A., George, M., et    al (1994) Eur. J. Cancer 30A:45-49.-   Gundersen, S. and Flokkmann, A. (1989) Cancer 64:1617-1619.-   Henss, H., Fiebig, H. H., Schildge, J., Arnold, H., et al (1988)    Onkologie 11:118-120.-   Hofhieinz, R. D., Hartung, G., Samel, S., Hochhaus, A., et al (2002)    Onkologie 25:255-260.-   Horvath, M., Fekete, B. and Rahoty, P. (1982) Oncology 39:20-22.-   Hudes, G. R., Nathan, F., Khater, C., Haas, N., et al (1997) J.    Clin. Oncol. 15:3156-3163.-   Hurteloup, P., Armand, J. P., Cappelaere, P., Metz, R., et al (1986)    Cancer Treat. Rep. 70:731-737.-   Ibrahim, N. K., Rahman, Z., Valero, V., Willey, J., et al (1999)    Cancer 86:1251-1257.-   Jeen, Y. T., Yoon, S. Y., Shin, S. W., Kim, B. S., et al (2001)    Cancer 91:2288-2293.-   Jeremic, B., Acimovic, L. and Mijatovic, L. (1993) Cancer    71:2706-2708.-   Johnson, D. H., Presant, C., Einhorn, L., Bartolucci, A. A., et    al (1985) Cancer Treat. Rep. 69:821-824.-   Kakolyris, S., Kourousis, C., Koukourakis, M., Androulakis, N., et    al (1999) Am. J. Clin. Oncol. 22:568-572.-   Kakolyris, S., Kouroussis, C., Koukourakis, M., Marvroudis, D., et    al (2002) Oncology 63:213-218.-   Kelly, W. K., Curley, T., Slovin, S., Heller, G., et al (2001) J.    Clin. Oncol. 19:44-53.-   Kikuyama, S., Inada, T., Oyama, R. and Ogata, Y. (2002) Anticancer    Res. 22:3633-3636.-   Kim, T. W., Kang, Y. K., Ahn, J. H., Chang, H. M., et al (2002) Ann.    Oncol. 13:1893-1898.-   Kimura, M., Tomita, Y., Imai, T., Saito, T. et al. (2001) Cancer    92:2072-2075.-   Kindler, H. L., Belani, C. P., Herndon, J. E., Vogelzang, N. J., et    al (1999) Cancer 86:1985-1991.-   Kjorstad, K., Harris, A., Bertelsen, K., Slevin, M., et al (1992)    Ann. Oncol. 3:217-222.-   Kollmannsberger, C., Quietzsch, D., Haag, C., Lingenfelser, T., et    al (2000) Br. J. Cancer 83:458-462.-   Kornek, G. V., Haider, K., Kwasny, W., Lang, F., et al (1998) Br. J.    Cancer 78:673-678.-   Kornek, G. V., Raderer, M., Schull, B., Fiebiger, W., et al (2002)    Br. J. Cancer 86:1858-1863.-   Kosmas, C., Tsavaris, N., Malamos, N., Stavroyianni, N., et    al (2003) Br. J. Cancer 88:1168-1174.-   Kouroussis, C., Souglakos, J., Kakolyris, S., Mavroudis, D., et    al (2001) Oncology 61:36-41.-   Leung, T. W., Paft, Y. Z., Lau, W. Y., Ho, S. K., et al (1999) Clin.    Cancer Res. 5:1676-1681.-   Li, J. D., Guan, Z. Z., Liu, J. H., Xin, X. Y., et al (2002) Ai    Zheng 21:416-420.-   Lissoni, A., Zanetta, G., Losa, G., Gabriele, A., et al (1996) Ann.    Oncol. 7:861-863.-   Liu, J. H., Yang, M. H., Fan, F. S., Yen, C. C., et al (2001)    Urology 57:650-654.-   Liuzzo, G., Biasucci, L. M., Gallimore, J. R., Grillo, R. L. et    al. (1994) New Engl. J. Med. 331:417-424.-   LoRusso, P., Pazdur, R., Redman, B. G., Kinzie, J., et al (1989)    Am. J. Clin. Oncol. 12:486-490. Lotem M, Shiloni E, Pappo I, Drize    O, et al. (2004) Br J Cancer 90:773-780.-   Louvet, C., Andre, T., Tigaud, J. M., Gamelin, E., et al (2002) J.    Clin. Oncol. 20:4543-4548.-   Manetta, A., Boyle, J., Berman, M. L., DiSaia, P. J., et al (1994)    Cancer 73:196-199.-   Mariotta, S., Sposato, B., Li Bianchi, E., Fiorucci, F., et    al (2002) Eur. Rev. Med. Pharmacol. Sci. 6:49-54.-   Mbidde, E. K., Harland, S. J., Calvert, A. H. and    Smith, I. E. (1986) Cancer Chemother. Pharmacol. 18:284-285.-   McClay, E. F., Braly, P. D., Kirmani, S., Plaxe, S. C., et al (1995)    Am. J. Clin. Oncol. 18:23-26.-   Meropol, N. J., Niedzwiecki, D., Hollis, D., Schilsky, R. L., et    al (2001) Cancer 91:1256-1263.-   Michelotti, A., Gennari, A., Salvadori, B., Giannessi, P. G., et    al (1996) Semin. Oncol. 23:38-40.-   Monnet, I., Breau, J. L., Moro, D., Lena, H., et al (2002) Chest    121:1921-1927.-   Morabito, A., Filippelli, G., Palmeri, S., Cascinu, S., et al (2003)    Breast Cancer Res. Treat. 78:29-36.-   Morris, M., Brader, K. R., Levenback, C., Burke T. W., et    al (1998) T. Clin. Oncol. 16:1094-1098.-   Murad, A. M., Guimaraes, R. C., Aragao, B. C., Rodrigues, V. H., et    al (2003) Am. J. Clin. Oncol. 26:151-154.-   Murad, A. M., Petrioanu, A., Guimaraes, R. C., Aragao, B. C., et    al (1999) Am. J. Clin. Oncol. 22:580-586.-   Nathan, F. E., Berd, D., Sato, T. and Mastrangelo, M. J. (2000)    Cancer 88:79-87.-   Neri, B., Doni, L., Fulignati, C., Perfetto, F., et al (2002)    Anticancer Drugs 13:719-724.-   Neri, B., Gemelli, M. T., Pantalone, D., Pernice, M. L., et    al (1998) Anticancer Drugs 9:599-602.-   North, R. J. and Awwad, M. (1990) Immunology 71:90-95.-   Nystrom, M. L., Steele, J. P., Shamash, J., Neville, F., et    al (2003) Melanoma Res. 13:197-199.-   O'Hanlon, D. M., Lynch, J., Cormican, M. and Given, H. F. (2002)    Anticancer Res. 22:1289-1294.-   O'Hara, R., Murphy, E. P., Whitehead, A. S., Fitzgearld, O. and    Bresnihan, B. (2000) Arthritis Research 2:142-144.-   Okuno, S. H., Mailliard, J. A., Suman, V. J., Edmonson, J. H., et    al (2002) Cancer 94:2224-2231.-   Onizuka, S., Tawara, I., Shimizu, J., Sakaguchi, S., et al (1999)    Cancer Res. 59:3128-3133.-   Oon, C. J., Chua, E. J., Foong, W. C., Tan, L. K., et al (1980) Ann.    Acad. Med. Singapore 9:256-259.-   Ozols, R. F., Speyer, J. L., Jenkins, J. and Myers, C. E. (1984)    Cancer Treat. Rep. 68:1229-1232.-   Paccagnella, A., Favaretto, A., Oniga, F., Festi, G., et al (1996)    Cancer 78:1701-1707.-   Patt, Y. Z., Hassan, M. M., Lozano, R. D., Brown, T. D., et    al (2003) J. Clin. Oncol. 21:421-427.-   Pectasides, D., Dimopoulos, M. A., Aravantinos, G., Kalophonos, H.    P., et al (2001) Anticancer Res. 21:3575-3580.-   Perng, R. P., Shih, J. F., Chen, Y. M., Delgado, F. M., et al (2000)    Am. J. Clin. Oncol. 23:60-64.-   Peterson, K. E., Strommes, I., Messer, R., Hasenkrug, K. and    Chesebro, B. (2002) J. Viriol. 76:7942-7948.-   Petrelli, N. J., Madejewicz, S., Rustum, Y., Herrera, L., et    al (1989) Cancer Chemother. Pharmacol. 23:57-60.-   Picus, J. and Schultz, M. (1999) Semin. Oncol. 26:14-18.-   Pinto, C., Marino, A., Guaraldi, M., Melotti, B., et al (2001)    Am. J. Clin. Oncol. 24:143-147.-   Planner, R. S., Allen, D. G., Brand, A. H., Grant, P. T., et    al (1996) Aust N. Z. J. Obstet. Gynaecol. 36:168-170.-   Planting, A. S., van der Burg, M. E., Goey, S. H., Schellens, J. H.,    et al (1995) Ann. Oncol. 6:613-615.-   Pohl, J., Zuna, I., Stremmel, W. and Rudi, J. (2001) Chemotherapy    47:359-365.-   Porta, C., Moroni, M., Nastasi, G. and Arcangeli, G. (1995) Oncology    52:487-491.-   Posner, M., Martin, A., Slapak, C. A., Clark, J. W., et al (1992)    Am. J. Clin. Oncol. 15:239-241.-   Price, C. P., Trull, A. K., Berry, D. and Gorman, E. G. (1987) J;    Immunol. Methods 99:205-211.-   Pyrhonen, S. O. and Kouri, M. O. (1992) Eur. J. Cancer    28A:1828-1832.-   Raghavan, D., Gianoutsos, P., Bishop, J., Lee, J., et al (1990) J.    Clin. Oncol. 8:151-154.-   Read, S., Malmstrom, V. and Powrie, F. (2000) J. Exp. Med.    192:295-302.-   Recchia, F., Lombardo, M., De Filippis, S., Rosselli, M., et    al (2002) Anticancer Res. 22:1321-1328.-   Reina, J. J., Aparicio, J., Salvador, J., Pica, J. M., et al (2003    in press) Cancer Chemother. Pharmacol.-   Retsas, S., Mohith, A. and Mackenzie, H. (1996) Anticancer Drugs    7:161-165.-   Rodriguez-Galindo, C., Daw, N. C., Kaste, S. C., Meyer, W. H., et    al (2002) J. Pediatr. Hematol. Oncol. 24:250-255.-   Romero, A., Rabinovich, M. G., Vallejo, C. T., Perez, J. E., et    al (1994) J. Clin. Oncol. 12:336-341.-   Romero, A. O., Perez, J. E., Cuevas, M. A., Lacava, J. A., et    al (1998) Am. J. Clin. Oncol. 21:94-98.-   Rose, P. G., Blessing, J. A., Ball, H. G., Hoffman, J., et al (2003)    Gynecol. Oncol. 88:130-135.-   Rosenthal, M. A., Gruber, M. L., Glass, J., Nirenberg, A., et    al (2000) J. Neurooncol. 47:59-63.-   Safran, H., Dipetrillo, T., Iannitti, D., Quirk, D., et al (2002)    Int. J. Radiat. Oncol. Biol. Phys. 54:137-141.-   Sakata, Y., Ohtsu, A., Horikoshi, N., Sugimachi, K., et al (1998)    Eur. J. Cancer 34:1715-1720.-   Salomon, B., Lenschow, D. J., Rhee, L., Ashourian, N., et al (2000)    Immunity 12:431-440.-   Savarese, D., Taplin, M. E., Halabi, S., Hars, V., et al (1999)    Semin. Oncol. 26:39-44.-   Savarese, D. M., Halabi, S., Hars, V., Akerley, W. L., et    al (2001) J. Clin. Oncol. 19:2509-2516.-   Scheithauer, W., Kornek, G. V., Raderer, M., Schull, B., et    al (2002) Ann. Oncol. 13:1583-1589.-   Schornagel, J. H., Verweij, J., ten Bokkel Huinink, W. W., Klijn, J.    G., et al (1989) J. Urol. 142:253-256.-   Sehouli, J., Stengel, D., Oskay, G., Camara, O., et al (2002) Ann.    Oncol. 13:1749-1755.-   Senju, O., Takagi, Y., Gomi, K., Ishii, N., et al. (1983) Jap. J.    Clin. Lab. Automation 8:161-165.-   Sherman, W. H. and Fine, R. L. (2001) Oncology 60:316-321.-   Shimizu, J., Yamazaki, S. and Sakaguchi, S. (1999) J. Immunol.    163:5211-5218.-   Shimizu, J., Yamazaki, S., Takahashi, T., Ishida, Y. and    Sakaguchi, S. (2002) Nature Immunol. 3:135-142.-   Sinnige, H. A., Sleijfer, D. T., de Vries, E. G., Willemse, P. H.,    et al (1990) Eur. J. Cancer 26:625-628.-   Small, E. J., Bok, R., Reese, D. M., Sudilovsky, D., et al (2001)    Semin. Oncol. 28:71-76.-   Smithers M, O'Connell K., MacFadyen S, Chambers M, et al. (2003)    Cancer Immunol Immunother. 52:41-52.-   Sobrero, A. F., Aschele, C., Guglielmi, A. P., Mori, A. M., et    al (1995) Clin. Cancer Res. 1:955-960.-   Stathopoulos, G. P., Rigatos, S. K., Pergantas, N., Tsavdarides, D.,    et al (2002) J. Clin. Oncol. 20:37-41.-   Sugimachi, K. and Maehara, Y. (2000) Surg. Today 30:1067-1072.-   Suri-Payer, E. and Cantor, H. (2001) J. Autoimmunity 16:115-23.-   Sutmuller, R. P., van Duivenvoorde, L. M., van Elsas, A.,    Schumacher, T. N. et al (2001) J. Exp. Med. 194:823-832.-   Sutton, G. P., Blessing, J. A., Homesley, H. D. and    Malfetano, J. H. (1994) Gynecol. Oncol. 53:24-26.-   Takahashi, T., Tagami, T., Yamazaki, S., Uede, T. et al (2000) J.    Exp. Med. 192:303-310.-   Takasugi, B. J., Robertone, A. B., Salmon, S. E., Jones, S. E., et    al (1984) Invest New Drugs 2:387-390.-   Takeuchi, S., Dobashi, K., Fujimoto, S., Tanaka, K., et al (1991)    Gan to Kagaku Ryoho 18:1681-1689.-   Thomas, G. W., Muss, H. B., Jackson, D. V., McCulloch, J., et    al (1994) Cancer Chemother. Pharmacol. 35:165-168.-   Trefzer U, Herberth G, Wohlan K., Milling A, et al. (2004) Int J    Cancer 110:730-740.-   Trivedi, C., Redman, B., Flaherty, L. E., Kucuk, O., et al (2000)    Cancer 89:431-436.-   Tsavans, N., Primikirios, N., Mylonakis, N., Varouchakis, G., et    al (1997) Anticancer Res. 17:3799-3802.-   Twelves, C. J., Dobbs, N. A., Curnow, A., Coleman, R. E., et    al (1994) Br. J. Cancer 70:990-993.-   Valdivieso, M., Bedikian, A. Y., Bodey, G. P. and    Freireich, E. J. (1981) Cancer Treat. Rep. 65:877-879.-   Weinstein, P. S., Skinner, M., Sipe, J. D., Lokich, J. J. et    al. (1984) Scand. J. Immunol. 19:193-198. Wittig B, Marten A, Dorbic    T, Weineck S, et al. (2001) Hum Gene Ther. 12:267-278.-   Yamada, Y., Shirao, K., Ohtsu, A., Boku, N., et al (2001) Ann.    Oncol. 12:1133-1137.-   Yogelzang, N. J., Herndon, J. E., Cirrincione, C., Harmon, D. C., et    al (1997) Cancer 79:2237-2242.-   Zeng, Z. C., Tang, Z. Y., Liu, K. D., Lu, J. Z., et al (1998) J.    Cancer Res. Clin. Oncol. 124:275-280.

1-44. (canceled)
 45. A method for analyzing effector cell and/orregulator cell cycling to determine when an agent should be administeredto a patient suffering from a disease characterized by the production ofregulator cells, the method comprising monitoring the patient, orsamples obtained therefrom, for at least one of: a) effector cellnumbers and/or activity, b) regulator cell numbers and/or activity, c) amolecule associated with the disease, and/or d) an immune system marker.46. A method of treating a disease characterized by the production ofregulator cells, the method comprising; i) analyzing effector celland/or regulator cell cycling by monitoring a patient suffering from thedisease for at least one of: a) number and/or activity of regulatorcells, b) number and/or activity of effector cells, c) a moleculeassociated with the disease, and/or d) an immune system marker, and ii)exposing the patient to an agent to treat the disease, wherein thetiming of administration of the agent is selected such that the activityof effector cells is not significantly reduced.
 47. The method of claim45, wherein the disease characterized by the production of regulatorcells is cancer or an infection.
 48. The method of claim 45, wherein thepatient is infected with HIV, Hepatitis B virus or Hepatitis C virus.49. The method of claim 45, wherein the immune system marker reflectsthe number and/or activity of regulator cells, and/or the number and/oractivity of effector cells.
 50. The method of claim 45, wherein theimmune system marker is an acute phase inflammatory marker.
 51. Themethod of claim 46, wherein the agent is administered between when thelevels of an acute phase inflammatory marker have peaked and before themarker begins to rise in the next cycle.
 52. The method of claim 46,wherein the agent is administered about when CD4+CD8− T cells aredetected.
 53. The method of claim 46, wherein the agent is administeredapproximately when CD8+CD4− T cell numbers have peaked.
 54. The methodof claim 45, wherein the molecule associated with the disease is anantigen produced by a cancer cell or an infectious agent.
 55. The methodof claim 46, wherein the agent is administered approximately when levelsof the molecule associated with the disease begin to decrease.
 56. Themethod of claim 45, wherein the patient is monitored for an acute phaseinflammatory marker, and a molecule associated with the disease.
 57. Themethod of claim 46, wherein the agent is administered between when thelevels of the acute phase inflammatory marker have peaked and before themarker begins to rise in the next cycle, and when levels of the moleculeassociated with the disease begin to decrease or would have beenpredicted to begin to decrease based upon previous analysis of themolecule.
 58. The method of claim 45, wherein the patient is monitoredfor a period of at least 21 days.
 59. The method of claim 45, thepatient is monitored at least about every 3 days.
 60. The method ofclaim 45, wherein the agent inhibits the production of, limits thefunction of, and/or destroys, regulator cells.
 61. The method of claim45, wherein the patient has not been exposed to a treatment for thedisease for at least 21 days.
 62. The method of claim 45, wherein thepatient is a human.
 63. A method for analyzing effector cell and/orregulator cell cycling to diagnose a disease characterized by theproduction of regulator cells, the method comprising monitoring thepatient, or samples obtained therefrom, for at least one of: a) effectorcell numbers and/or activity, b) regulator cell numbers and/or activity,c) a molecule associated with the disease, and/or d) an immune systemmarker, wherein cycling of any one of a) to d) indicates the disease maybe present.
 64. A method for analyzing effector cell and/or regulatorcell cycling to determine when a vaccine should be administered to apatient suffering from a disease characterized by the production ofregulator cells, the method comprising monitoring the patient, orsamples obtained therefrom, for at least one of: a) effector cellnumbers and/or activity, b) regulator cell numbers and/or activity, c) amolecule associated with the disease, and/or d) an immune system marker.65. A method of treating a disease characterized by the production ofregulator cells, the method comprising; i) analyzing effector celland/or regulator cell cycling by monitoring a patient suffering from thedisease for at least one of: a) number and/or activity of regulatorcells, b) number and/or activity of effector cells, c) a moleculeassociated with the disease, and/or d) an immune system marker, and ii)exposing the patient to an vaccine to treat the disease, wherein thetiming of administration of the vaccine is selected such that theactivity of effector cells is not significantly reduced.
 66. A kit whenused for analyzing effector cell and/or regulator cell cycling todetermine when an agent or vaccine should be administered to a patientsuffering from a disease characterized by the production of regulatorcells, the kit comprising at least one reagent for monitoring thepatient, or samples obtained therefrom, for at least one of: a) effectorcell numbers and/or activity, b) regulator cell numbers and/or activity,c) a molecule associated with the disease, and/or d) an immune systemmarker.